| 2026 | GECCO | Directly Targeting Convex Pareto Solutions. | Kalyanmoy Deb, Shashank Raj |
| 2026 | GECCO | Advances in Multi-Objective Optimization and Decision-Making. | Kalyanmoy Deb, Deepanshu Yadav |
| 2026 | GECCO | Multi-Objective Orchestration of Small Language Model Ensembles: Balancing Accuracy, Diversity, and Fairness. | Advay Dhar, Swagatam Das, Kalyanmoy Deb |
| 2026 | GECCO | Regularity-Driven Multi-objective Neural Architecture Search. | Ritam Guha, Shashank Raj, Kalyanmoy Deb |
| 2026 | GECCO | Rethinking Evolutionary Optimization: Paying Attention to Intermediate Transitional Solutions for Certain Problems. | Ahmer Khan, Kalyanmoy Deb |
| 2026 | GECCO | To Balance Competitive Games Using a Multi-objective Coevolutionary Approach. | Shashank Raj, Auden Garrard, Ryan McKendrick, Bradley Feest, Kalyanmoy Deb |
| 2026 | GECCO | A GNBG-Inspired Multi-Component Benchmark Suite with Controlled Difficulty Axes for the IOH BenchDesign Challenge. | Rohit Salgotra, Kalyanmoy Deb, Amir H. Gandomi |
| 2026 | GECCO | GNBG-III: A Property-Aware Benchmark Suite for Diagnosing Continuous Black-Box Optimizers. | Rohit Salgotra, Kalyanmoy Deb, Amir H. Gandomi |
| 2026 | GECCO | Benchmarking Interactive Multi-Criterion Decision-Making Procedures Following Machine Learning-Based Decision-Maker: Benchmarking Interactive MCDM Procedures. | Deepanshu Yadav, Kalyanmoy Deb |
| 2026 | GECCO | pMachine-DM: A Stochastic Machine Learning-Based Decision-Maker for Interactive Multi-Criterion Decision-Making. | Deepanshu Yadav, Kalyanmoy Deb |
| 2026 | GECCO | A Surrogate-Assisted Evolutionary Algorithm with Innovized Progress Operator for Expensive Many-Objective Optimization. | Xiaochun Yang, Wei Fang, Shuwei Zhu, Kalyanmoy Deb, Meiji Cui |
| 2026 | GECCO | Ensemble Surrogate-Assisted Optimization with Dynamic Dimensional Splitting for High-Dimensional Expensive Mixed-Variable Problems. | Junfeng Yi, Shuwei Zhu, Meiji Cui, Kalyanmoy Deb |
| 2025 | CEC | Finding Multiple Alternate Solutions Using Evolutionary Multi-Objective Optimization. | Kalyanmoy Deb, Ritam Guha |
| 2025 | CEC | Progressive Surrogate Modeling for a Multi-objective Competitive Co-evolutionary (MoCCoEv) Wargame Strategy Optimization. | Ritam Guha, Ryan McKendrick, Bradley Feest, Kalyanmoy Deb |
| 2025 | EMO | A Multi-objective Competitive Co-evolutionary Framework with Progressive Shrinking for Wargame Scenarios. | Ritam Guha, Ryan McKendrick, Bradley Feest, Kalyanmoy Deb |
| 2025 | EMO | Towards an Efficient Innovation Path Seeking Algorithm Using Directed Domination. | Ahmer Khan, Kalyanmoy Deb |
| 2025 | EMO | A Mixed-Fidelity Evaluation Algorithm for Efficient Constrained Multi- and Many-Objective Optimization: First Results. | Balija Santoshkumar, Kalyanmoy Deb |
| 2025 | EMO | Reliability-Based MCDM Using Objective Preferences Under Variable Uncertainty. | Deepanshu Yadav, Palaniappan Ramu, Kalyanmoy Deb |
| 2025 | GECCO | Machine Learning Assisted Evolutionary Multi-objective Optimization. | Kalyanmoy Deb, Dhish Kumar Saxena, Sukrit Mittal |
| 2025 | GECCO | Hierarchical Convergence to Multiple Alternate Solutions: Population versus Point-based Algorithms. | Ahmer Khan, Kalyanmoy Deb |
| 2025 | GECCO | Numerical Global Optimization Competition on GNBG-II generated Test Suite. | Rohit Salgotra, Amir H. Gandomi, Kalyanmoy Deb |
| 2025 | GECCO | Addressing Heterogeneous Evaluation Times in Constrained Multi-Objective Optimization using a Mixed-Fidelity Evaluation Technique: Proof-of-Concept Results. | Balija Santoshkumar, Kalyanmoy Deb |
| 2025 | GECCO | Machine Learning-Assisted Constraint Handling Under Variable Uncertainty for Preference-based Multi-Objective Optimization. | Deepanshu Yadav, Palaniappan Ramu, Kalyanmoy Deb |
| 2025 | GECCO | Ranking-prediction based evolutionary algorithm for expensive many-objective optimization problems. | Yimo Zhang, Shuwei Zhu, Wei Fang, Kalyanmoy Deb, Meiji Cui |
| 2024 | CEC | Scalable Polynomial RegEM(a)O for Multi-lMany-objective Platform-based Design Optimization Problems. | Ritam Guha, Kalyanmoy Deb |
| 2024 | CEC | Surrogate-Assisted Multi-Objective Optimization for Handling Objectives with Heterogeneous Evaluation Times: Unconstrained Problems. | Balija Santoshkumar, Kalyanmoy Deb |
| 2024 | CEC | On a Better Understanding of Unique Identifiers of Pareto Solutions for Multi-criterion Optimization, Visualization, and Decision-making. | Anirudh Suresh, Kalyanmoy Deb |
| 2024 | GECCO | Evolutionary Bilevel Optimization: Algorithms and Applications. | Kalyanmoy Deb, Ankur Sinha |
| 2024 | GECCO | Innovation Path: Discovering an Ordered Set of Optimized Intermediate Solutions from an Existing to a Desired Solution. | Ahmer Khan, Kalyanmoy Deb |
| 2024 | GECCO | Hot off the Press: Parallel Multi-Objective Optimization for Expensive and Inexpensive Objectives and Constraints. | Roy de Winter, Bas Milatz, Julian Blank, Niki van Stein, Thomas Bck, Kalyanmoy Deb |
| 2024 | GECCO | An Updated Performance Metric for Preference-Based Evolutionary Multi-Objective Optimization Algorithms. | Deepanshu Yadav, Palaniappan Ramu, Kalyanmoy Deb |
| 2024 | PPSN | Attacker-Defender Strategy Optimization Using Multi-objective Competitive Co-Evolution. | Ritam Guha, Ryan McKendrick, Bradley Feest, Kalyanmoy Deb |
| 2023 | CEC | Utilizing Innovization to Solve Large-Scale Multi-Objective Chesapeake Bay Watershed Problem. | Gregorio Toscano, Hoda Razavi, A. Pouyan Nejadhashemi, Kalyanmoy Deb, Lewis C. Linker |
| 2023 | CEC | Finding Robust Solutions for Many-Objective Optimization Using NSGA-III. | Deepanshu Yadav, Palaniappan Ramu, Kalyanmoy Deb |
| 2023 | CVPR | Revisiting Residual Networks for Adversarial Robustness. | Shihua Huang, Zhichao Lu, Kalyanmoy Deb, Vishnu Naresh Boddeti |
| 2023 | EMO | Investigating Innovized Progress Operators with Different Machine Learning Methods. | Drishti Bhasin, Sajag Swami, Sarthak Sharma, Saumya Sah, Dhish Kumar Saxena, Kalyanmoy Deb |
| 2023 | EMO | Learning to Predict Pareto-Optimal Solutions from Pseudo-weights. | Kalyanmoy Deb, Aryan Gondkar, Anirudh Suresh |
| 2023 | EMO | IK-EMOViz: An Interactive Knowledge-Based Evolutionary Multi-objective Optimization Framework. | Abhiroop Ghosh, Kalyanmoy Deb, Ronald C. Averill, Erik D. Goodman |
| 2023 | EMO | RegEMO: Sacrificing Pareto-Optimality for Regularity in Multi-objective Problem-Solving. | Ritam Guha, Kalyanmoy Deb |
| 2023 | EMO | Eliminating Non-dominated Sorting from NSGA-III. | Balija Santoshkumar, Kalyanmoy Deb, Lei Chen |
| 2023 | GECCO | MOAZ: A Multi-Objective AutoML-Zero Framework. | Ritam Guha, Wei Ao, Stephen Kelly, Vishnu Boddeti, Erik D. Goodman, Wolfgang Banzhaf, Kalyanmoy Deb |
| 2023 | GECCO | Optimizing Keyboard Configuration Using Single and Multi-Objective Evolutionary Algorithms. | Ahmer Khan, Kalyanmoy Deb |
| 2023 | GECCO | Multi-objective Robust Optimization and Decision-Making Using Evolutionary Algorithms. | Deepanshu Yadav, Palaniappan Ramu, Kalyanmoy Deb |
| 2023 | IROS | Discovering Adaptable Symbolic Algorithms from Scratch. | Stephen Kelly, Daniel S. Park, Xingyou Song, Mitchell McIntire, Pranav Nashikkar, Ritam Guha, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu Naresh Boddeti, Jie Tan, Esteban Real |
| 2022 | CEC | Parameter Tuning and Control: A Case Study on Differential Evolution With Polynomial Mutation. | Julian Blank, Kalyanmoy Deb |
| 2022 | CEC | Large-scale Multi-objective Optimization for Water Quality in Chesapeake Bay Watershed. | Gregorio Toscano, Juan Sebastian Hernandez-Suarez, Julian Blank, A. Pouyan Nejadhashemi, Kalyanmoy Deb, Lewis C. Linker |
| 2022 | GECCO | A computationally fast but approximate MIP-DoM calculation for multi-objective optimization. | Claudio Lucio do Val Lopes, Flvio Vincius Cruzeiro Martins, Elizabeth F. Wanner, Kalyanmoy Deb |
| 2021 | CEC | Aggregation or Selection? Clustering Many Objectives for Vehicle Routing Problem with Demand Responsive Transport. | Renan Santos Mendes, Elizabeth F. Wanner, Flvio V. C. Martins, Kalyanmoy Deb |
| 2021 | CEC | Ensembled Crossover based Evolutionary Algorithm for Single and Multi-objective Optimization. | Shreya Sharma, Julian Blank, Kalyanmoy Deb, Bijaya Ketan Panigrahi |
| 2021 | CEC | Multi-objective Coevolution and Decision-making for Cooperative and Competitive Environments. | Anirudh Suresh, Jaturong Kongmanee, Kalyanmoy Deb, Vishnu Naresh Boddeti |
| 2021 | EMO | Constrained Bi-objective Surrogate-Assisted Optimization of Problems with Heterogeneous Evaluation Times: Expensive Objectives and Inexpensive Constraints. | Julian Blank, Kalyanmoy Deb |
| 2021 | EMO | Embedding a Repair Operator in Evolutionary Single and Multi-objective Algorithms - An Exploitation-Exploration Perspective. | Kalyanmoy Deb, Sukrit Mittal, Dhish Kumar Saxena, Erik D. Goodman |
| 2021 | EMO | Combining User Knowledge and Online Innovization for Faster Solution to Multi-objective Design Optimization Problems. | Abhiroop Ghosh, Kalyanmoy Deb, Ronald C. Averill, Erik D. Goodman |
| 2021 | EMO | Handling Priority Levels in Mixed Pareto-Lexicographic Many-Objective Optimization Problems. | Leonardo Lai, Lorenzo Fiaschi, Marco Cococcioni, Kalyanmoy Deb |
| 2021 | EMO | Interpretable Self-Organizing Maps (iSOM) for Visualization of Pareto Front in Multiple Objective Optimization. | Deepak Nagar, Palaniappan Ramu, Kalyanmoy Deb |
| 2021 | EMO | Towards Multi-objective Co-evolutionary Problem Solving. | Anirudh Suresh, Kalyanmoy Deb, Vishnu Naresh Boddeti |
| 2021 | EMO | The (M-1)+1 Framework of Relaxed Pareto Dominance for Evolutionary Many-Objective Optimization. | Shuwei Zhu, Lihong Xu, Erik D. Goodman, Kalyanmoy Deb, Zhichao Lu |
| 2021 | GECCO | PSAF: a probabilistic surrogate-assisted framework for single-objective optimization. | Julian Blank, Kalyanmoy Deb |
| 2021 | GECCO | Evolutionary multi- and many-objective optimization: methodologies, applications and demonstration. | Kalyanmoy Deb, Julian Blank |
| 2021 | GECCO | An approximate MIP-DoM calculation for multi-objective optimization using affinity propagation clustering algorithm. | Claudio Lucio do Val Lopes, Flvio V. C. Martins, Elizabeth F. Wanner, Kalyanmoy Deb |
| 2020 | CEC | A Running Performance Metric and Termination Criterion for Evaluating Evolutionary Multi- and Many-objective Optimization Algorithms. | Julian Blank, Kalyanmoy Deb |
| 2020 | CEC | A Large-scale Bi-objective Optimization of Solid Rocket Motors Using Innovization. | Abhiroop Ghosh, Erik D. Goodman, Kalyanmoy Deb, Ronald C. Averill, Alejandro Diaz |
| 2020 | CEC | A Unified Automated Innovization Framework Using Threshold-based Clustering. | Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb |
| 2020 | CEC | Trend Mining 2.0: Automating the Discovery of Variable Trends in the Objective Space. | Henrik Smedberg, Sunith Bandaru, Amos H. C. Ng, Kalyanmoy Deb |
| 2020 | CVPR | MUXConv: Information Multiplexing in Convolutional Neural Networks. | Zhichao Lu, Kalyanmoy Deb, Vishnu Naresh Boddeti |
| 2020 | ECCV | NSGANetV2: Evolutionary Multi-objective Surrogate-Assisted Neural Architecture Search. | Zhichao Lu, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti |
| 2020 | GECCO | Towards sustainable forest management strategies with MOEAs. | Philipp Back, Antti Suominen, Pekka Malo, Olli Tahvonen, Julian Blank, Kalyanmoy Deb |
| 2020 | GECCO | Evolutionary multi-objective optimization: past, present and future. | Kalyanmoy Deb |
| 2020 | GECCO | A generic and computationally efficient automated innovization method for power-law design rules. | Kanish Garg, Anish Mukherjee, Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb |
| 2020 | GECCO | Learning-based multi-objective optimization through ANN-assisted online | Sukrit Mittal, Dhish Kumar Saxena, Kalyanmoy Deb |
| 2020 | GECCO | Gap finding and validation in evolutionary multi- and many-objective optimization. | Pablo Valledor Pellicer, Miguel Iglesias Escudero, Silvino Fernndez Alzueta, Kalyanmoy Deb |
| 2020 | GECCO | PaletteStarViz: a visualization method for multi-criteria decision making from high-dimensional pareto-optimal front. | A. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb |
| 2020 | GECCO | Using gradient-free local search within MOEAs for the treatment of constrained MOPs. | Lourdes Uribe, Adriana Lara, Kalyanmoy Deb, Oliver Schtze |
| 2020 | GECCO | Dynamic vessel-to-vessel routing using level-wise evolutionary optimization. | Yash Vesikar, Julian Blank, Kalyanmoy Deb, Markku Kallio, Alaleh Maskooki |
| 2020 | GECCO | Worst-case conditional hardness and fast algorithms with random inputs for non-dominated sorting. | Sorrachai Yingchareonthawornchai, Proteek Chandan Roy, Bundit Laekhanukit, Eric Torng, Kalyanmoy Deb |
| 2020 | IJCAI | NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm (Extended Abstract). | Zhichao Lu, Ian Whalen, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti |
| 2020 | IJCCI | Rise of Evolutionary Multi-Objective Optimization: Algorithms and Applications. | Kalyanmoy Deb |
| 2019 | CEC | A Novel Pareto-VIKOR Index for Ranking Scientists' Publication Impacts: A Case Study on Evolutionary Computation Researchers. | Azam Asilian Bidgoli, Shahryar Rahnamayan, Sedigheh Mahdavi, Kalyanmoy Deb |
| 2019 | CEC | A Knowledge Discovery of Relationships among Dataset Entities Using Optimum Hierarchical Clustering by DE Algorithm. | Sedigheh Mahdavi, Shahryar Rahnamayan, Kalyanmoy Deb, Mitra Rahnamayan |
| 2019 | EMO | Investigating the Normalization Procedure of NSGA-III. | Julian Blank, Kalyanmoy Deb, Proteek Chandan Roy |
| 2019 | EMO | Generating Uniformly Distributed Points on a Unit Simplex for Evolutionary Many-Objective Optimization. | Kalyanmoy Deb, Sunith Bandaru, Haitham Seada |
| 2019 | EMO | Simulation Optimization of Water Usage and Crop Yield Using Precision Irrigation. | Proteek Chandan Roy, Andrey K. Guber, Mohammad Abouali, A. Pouyan Nejadhashemi, Kalyanmoy Deb, Alvin J. M. Smucker |
| 2019 | EMO | Trust-Region Based Multi-objective Optimization for Low Budget Scenarios. | Proteek Chandan Roy, Rayan Hussein, Julian Blank, Kalyanmoy Deb |
| 2019 | GECCO | NSGA-Net: neural architecture search using multi-objective genetic algorithm. | Zhichao Lu, Ian Whalen, Vishnu Boddeti, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf |
| 2019 | GECCO | Optimisation of crop configuration using NSGA-III with categorical genetic operators. | Oskar Marko, Dejan Pavlovic, Vladimir S. Crnojevic, Kalyanmoy Deb |
| 2019 | GECCO | A parametric investigation of PBI and AASF scalarizations. | Hemant Kumar Singh, Kalyanmoy Deb |
| 2018 | CEC | Bilevel Optimization Based on Kriging Approximations of Lower Level Optimal Value Function. | Ankur Sinha, Samish Bedi, Kalyanmoy Deb |
| 2018 | CEC | Balancing Survival of Feasible and Infeasible Solutions in Constraint Evolutionary Optimization Algorithms. | Zhichao Lu, Kalyanmoy Deb, Hemant K. Singh |
| 2018 | GECCO | Trust-region based algorithms with low-budget for multi-objective optimization. | Proteek Chandan Roy, Julian Blank, Rayan Hussein, Kalyanmoy Deb |
| 2018 | GECCO | Visualization of the boundary solutions of high dimensional pareto front from a decision maker's perspective. | A. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb, Julian Blank |
| 2018 | PPSN | Tutorials at PPSN 2018. | Gisele Lobo Pappa, Michael T. M. Emmerich, Ana L. C. Bazzan, Will N. Browne, Kalyanmoy Deb, Carola Doerr, Marko Durasevic, Michael G. Epitropakis, Saemundur O. Haraldsson, Domagoj Jakobovic, Pascal Kerschke, Krzysztof Krawiec, Per Kristian Lehre, Xiaodong Li, Andrei Lissovoi, Pekka Malo, Luis Mart, Yi Mei, Juan Julin Merelo Guervs, Julian F. Miller, Alberto Moraglio, Antonio J. Nebro, Su Nguyen, Gabriela Ochoa, Pietro S. Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Marc Schoenauer, Roman Senkerik, Ankur Sinha, Ofer M. Shir, Dirk Sudholt, L. Darrell Whitley, Mark Wineberg, John R. Woodward, Mengjie Zhang |
| 2017 | CEC | Evolutionary bilevel optimization using KKT proximity measure. | Ankur Sinha, Tharo Soun, Kalyanmoy Deb |
| 2017 | CEC | Multi-objective optimization of cellular scanning strategy in selective laser melting. | Ali Ahrari, Kalyanmoy Deb, Sankhya Mohanty, Jesper Henri Hattel |
| 2017 | CEC | A bi-objective hybrid constrained optimization (HyCon) method using a multi-objective and penalty function approach. | Rituparna Datta, Kalyanmoy Deb, Aviv Segev |
| 2017 | CEC | Effect of size and order of variables in rules for multi-objective repair-based innovization procedure. | Abhinav Gaur, Kalyanmoy Deb |
| 2017 | CEC | Fusion-based hybrid many-objective optimization algorithm. | Amin Ibrahim, Miguel Vargas Martin, Shahryar Rahnamayan, Kalyanmoy Deb |
| 2017 | CEC | Enhancing clearing-based niching method using Delaunay Triangulation. | Shivam Kalra, Shahryar Rahnamayan, Kalyanmoy Deb |
| 2017 | CEC | Challenges for evolutionary multiobjective optimization algorithms in solving variable-length problems. | Hui Li, Kalyanmoy Deb |
| 2017 | CEC | Use of derived heuristics in improved performance of evolutionary optimization: An application to gold processing plant. | Christie Myburgh, Kalyanmoy Deb |
| 2017 | EMO | Solving the Bi-objective Traveling Thief Problem with Multi-objective Evolutionary Algorithms. | Julian Blank, Kalyanmoy Deb, Sanaz Mostaghim |
| 2017 | EMO | Classifying Metamodeling Methods for Evolutionary Multi-objective Optimization: First Results. | Kalyanmoy Deb, Rayan Hussein, Proteek Chandan Roy, Gregorio Toscano |
| 2017 | EMO | Fusion of Many-Objective Non-dominated Solutions Using Reference Points. | Amin Ibrahim, Shahryar Rahnamayan, Miguel Vargas Martin, Kalyanmoy Deb |
| 2017 | EMO | Empirical Investigations of Reference Point Based Methods When Facing a Massively Large Number of Objectives: First Results. | Ke Li, Kalyanmoy Deb, Okkes Tolga Altinz, Xin Yao |
| 2017 | EMO | Towards a Better Balance of Diversity and Convergence in NSGA-III: First Results. | Haitham Seada, Mohamed Abouhawwash, Kalyanmoy Deb |
| 2017 | EMO | A Comparative Study of Fast Adaptive Preference-Guided Evolutionary Multi-objective Optimization. | Florian Siegmund, Amos H. C. Ng, Kalyanmoy Deb |
| 2017 | EMO | Injection of Extreme Points in Evolutionary Multiobjective Optimization Algorithms. | A. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb, Shahryar Rahnamayan |
| 2017 | GECCO | Constraint handling in efficient global optimization. | Samineh Bagheri, Wolfgang Konen, Richard Allmendinger, Jrgen Branke, Kalyanmoy Deb, Jonathan E. Fieldsend, Domenico Quagliarella, Karthik Sindhya |
| 2017 | GECCO | Handling practicalities in agricultural policy optimization for water quality improvements. | Bradley L. Barnhart, Zhichao Lu, Moriah Bostian, Ankur Sinha, Kalyanmoy Deb, Luba Kurkalova, Manoj Jha, Gerald Whittaker |
| 2017 | GECCO | Towards an epigenetics-inspired control system for power dispatch problem. | Daniel J. Couvertier, Erik D. Goodman, Kalyanmoy Deb |
| 2017 | GECCO | Recent advances in evolutionary multi-criterion optimization (EMO). | Kalyanmoy Deb |
| 2017 | GECCO | A computationally fast multimodal optimization with push enabled genetic algorithm. | Yashesh D. Dhebar, Kalyanmoy Deb |
| 2017 | GECCO | Multimodal truss structure design using bilevel and niching based evolutionary algorithms. | Md. Jakirul Islam, Xiaodong Li, Kalyanmoy Deb |
| 2017 | GECCO | Solving a supply-chain management problem using a bilevel approach. | Zhichao Lu, Kalyanmoy Deb, Erik D. Goodman, John M. Wassick |
| 2017 | GECCO | Metamodeling for multimodal selection functions in evolutionary multi-objective optimization. | Proteek Chandan Roy, Rayan Hussein, Kalyanmoy Deb |
| 2017 | GECCO | Short versus long-term urban planning using multi-objective optimization. | Jonas Schwaab, Kalyanmoy Deb, Erik D. Goodman, Sven Lautenbach, Maarten van Strien, Adrienne Grt-Regamey |
| 2016 | CEC | Key challenges and future directions of dynamic multi-objective optimisation. | Mard Helbig, Kalyanmoy Deb, Andries P. Engelbrecht |
| 2016 | CEC | 3D-RadVis: Visualization of Pareto front in many-objective optimization. | Amin Ibrahim, Shahryar Rahnamayan, Miguel Vargas Martin, Kalyanmoy Deb |
| 2016 | CEC | EliteNSGA-III: An improved evolutionary many-objective optimization algorithm. | Amin Ibrahim, Shahryar Rahnamayan, Miguel Vargas Martin, Kalyanmoy Deb |
| 2016 | CEC | An evolutionary many-objective optimisation algorithm with adaptive region decomposition. | Hai-Lin Liu, Lei Chen, Qingfu Zhang, Kalyanmoy Deb |
| 2016 | CEC | Center-based initialization of cooperative co-evolutionary algorithm for large-scale optimization. | Sedigheh Mahdavi, Shahryar Rahnamayan, Kalyanmoy Deb |
| 2016 | CEC | High dimensional model representation for solving expensive multi-objective optimization problems. | Proteek Chandan Roy, Kalyanmoy Deb |
| 2016 | CEC | A ranking and selection strategy for preference-based evolutionary multi-objective optimization of variable-noise problems. | Florian Siegmund, Amos H. C. Ng, Kalyanmoy Deb |
| 2016 | CEC | Solving optimistic bilevel programs by iteratively approximating lower level optimal value function. | Ankur Sinha, Pekka Malo, Kalyanmoy Deb |
| 2016 | CEC | Handling inverse optimal control problems using evolutionary bilevel optimization. | Varun Suryan, Ankur Sinha, Pekka Malo, Kalyanmoy Deb |
| 2016 | CEC | Study of the approximation of the fitness landscape and the ranking process of scalarizing functions for many-objective problems. | Gregorio Toscano, Kalyanmoy Deb |
| 2016 | GECCO | Karush-Kuhn-Tucker Proximity Measure for Multi-Objective Optimization Based on Numerical Gradients. | Mohamed Abouhawwash, Kalyanmoy Deb |
| 2016 | GECCO | Optimum Design of Artificial Lateral Line Systems for Object Tracking under Uncertain Conditions. | Ali Ahrari, Hong Lei, Montassar Aidi Sharif, Kalyanmoy Deb, Xiaobo Tan |
| 2016 | GECCO | Breaking the Billion-Variable Barrier in Real-World Optimization Using a Customized Evolutionary Algorithm. | Kalyanmoy Deb, Christie Myburgh |
| 2016 | GECCO | Adaptive Use of Innovization Principles for a Faster Convergence of Evolutionary Multi-Objective Optimization Algorithms. | Abhinav Gaur, Kalyanmoy Deb |
| 2016 | GECCO | A Generative Kriging Surrogate Model for Constrained and Unconstrained Multi-objective Optimization. | Rayan Hussein, Kalyanmoy Deb |
| 2016 | GECCO | Finding Reliable Solutions in Bilevel Optimization Problems Under Uncertainties. | Zhichao Lu, Kalyanmoy Deb, Ankur Sinha |
| 2016 | GECCO | Best Order Sort: A New Algorithm to Non-dominated Sorting for Evolutionary Multi-objective Optimization. | Proteek Chandan Roy, Md. Monirul Islam, Kalyanmoy Deb |
| 2016 | GECCO | Towards a Better Diversity of Evolutionary Multi-Criterion Optimization Algorithms using Local Searches. | Haitham Ahmed Seada, Mohamed Abouhawwash, Kalyanmoy Deb |
| 2016 | GECCO | Maintaining Diversity in The Bounded Pareto-Set: A Case of Opposition Based Solution Generation Scheme. | A. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb, Shahryar Rahnamayan |
| 2016 | PPSN | Variable Interaction in Multi-objective Optimization Problems. | Ke Li, Mohammad Nabi Omidvar, Kalyanmoy Deb, Xin Yao |
| 2015 | CEC | Design optimization of artificial lateral line system under uncertain conditions. | Ali Ahrari, Hong Lei, Montassar Aidi Sharif, Kalyanmoy Deb, Xiaobo Tan |
| 2015 | CEC | Reference point based distributed computing for multiobjective optimization. | Okkes Tolga Altinz, Kalyanmoy Deb, Asim Egemen Yilmaz |
| 2015 | CEC | Towards optimal ship design and valuable knowledge discovery under uncertain conditions. | Kalyanmoy Deb, Zhichao Lu, Chris B. McKesson, Cherie Courseault Trumbach, Larry DeCan |
| 2015 | CEC | Multi-scenario, multi-objective optimization using evolutionary algorithms: Initial results. | Kalyanmoy Deb, Ling Zhu, Sandeep S. Kulkarni |
| 2015 | CEC | Towards an automated Innovization method for handling discrete search spaces. | Abhinav Gaur, Kalyanmoy Deb |
| 2015 | CEC | Evolutionary multiobjective optimization with hybrid selection principles. | Ke Li, Kalyanmoy Deb, Qingfu Zhang |
| 2015 | CEC | Handling decision variable uncertainty in bilevel optimization problems. | Zhichao Lu, Kalyanmoy Deb, Ankur Sinha |
| 2015 | CEC | Sensitivity analysis of Penalty-based Boundary Intersection on aggregation-based EMO algorithms. | Asad Mohammadi, Mohammad Nabi Omidvar, Xiaodong Li, Kalyanmoy Deb |
| 2015 | CEC | Effect of selection operator on NSGA-III in single, multi, and many-objective optimization. | Haitham Seada, Kalyanmoy Deb |
| 2015 | CEC | Transportation policy formulation as a multi-objective bilevel optimization problem. | Ankur Sinha, Pekka Malo, Kalyanmoy Deb |
| 2015 | CEC | Unconstrained robust optimization using a descent-based crossover operator. | Ankur Sinha, Aleksi Porokka, Pekka Malo, Kalyanmoy Deb |
| 2015 | CEC | An integrated approach involving EMO and HYDRUS-2D software for SWRT-based precision irrigation. | Cem Celal Tutum, Andrey K. Guber, Kalyanmoy Deb, Alvin Smucker, A. Pouyan Nejadhashemi, Berna Kiraz |
| 2015 | EMO | Temporal Innovization: Evolution of Design Principles Using Multi-objective Optimization. | Sunith Bandaru, Kalyanmoy Deb |
| 2015 | EMO | Unwanted Feature Interactions Between the Problem and Search Operators in Evolutionary Multi-objective Optimization. | Chad M. Byers, Betty H. C. Cheng, Kalyanmoy Deb |
| 2015 | EMO | An Optimality Theory Based Proximity Measure for Evolutionary Multi-Objective and Many-Objective Optimization. | Kalyanmoy Deb, Mohamed Abouhawwash, Joydeep Dutta |
| 2015 | EMO | U-NSGA-III: A Unified Evolutionary Optimization Procedure for Single, Multiple, and Many Objectives: Proof-of-Principle Results. | Haitham Seada, Kalyanmoy Deb |
| 2015 | EMO | Hybrid Dynamic Resampling for Guided Evolutionary Multi-Objective Optimization. | Florian Siegmund, Amos H. C. Ng, Kalyanmoy Deb |
| 2015 | EMO | Towards Understanding Bilevel Multi-objective Optimization with Deterministic Lower Level Decisions. | Ankur Sinha, Pekka Malo, Kalyanmoy Deb |
| 2015 | EMO | A Multimodal Approach for Evolutionary Multi-objective Optimization (MEMO): Proof-of-Principle Results. | Cem Celal Tutum, Kalyanmoy Deb |
| 2014 | CEC | On the performance of classification algorithms for learning Pareto-dominance relations. | Sunith Bandaru, Amos H. C. Ng, Kalyanmoy Deb |
| 2014 | CEC | Non-uniform mapping in real-coded genetic algorithms. | Yashesh D. Dhebar, Kalyanmoy Deb, Sunith Bandaru |
| 2014 | CEC | Network path optimization under dynamic conditions. | Yaser Ali Enaya, Kalyanmoy Deb |
| 2014 | CEC | Integrating user preferences and decomposition methods for many-objective optimization. | Asad Mohammadi, Mohammad Nabi Omidvar, Xiaodong Li, Kalyanmoy Deb |
| 2014 | CEC | A review of hybrid evolutionary multiple criteria decision making methods. | Robin C. Purshouse, Kalyanmoy Deb, Maszatul M. Mansor, Sanaz Mostaghim, Rui Wang |
| 2014 | CEC | An improved bilevel evolutionary algorithm based on Quadratic Approximations. | Ankur Sinha, Pekka Malo, Kalyanmoy Deb |
| 2014 | CEC | Multi-scenario optimization using multi-criterion methods: A case study on Byzantine agreement problem. | Ling Zhu, Kalyanmoy Deb, Sandeep S. Kulkarni |
| 2014 | GECCO | Evolutionary bilevel optimization (EBO). | Kalyanmoy Deb, Ankur Sinha |
| 2014 | GECCO | Software refactoring under uncertainty: a robust multi-objective approach. | Mohamed Wiem Mkaouer, Marouane Kessentini, Slim Bechikh, Mel Cinnide, Kalyanmoy Deb |
| 2014 | GECCO | High dimensional search-based software engineering: finding tradeoffs among 15 objectives for automating software refactoring using NSGA-III. | Mohamed Wiem Mkaouer, Marouane Kessentini, Slim Bechikh, Kalyanmoy Deb, Mel Cinnide |
| 2014 | GECCO | A bilevel optimization approach to automated parameter tuning. | Ankur Sinha, Pekka Malo, Peng Xu, Kalyanmoy Deb |
| 2013 | CEC | A parameterless-niching-assisted bi-objective approach to multimodal optimization. | Sunith Bandaru, Kalyanmoy Deb |
| 2013 | CEC | An evolutionary algorithm based pattern search approach for constrained optimization. | Rituparna Datta, M. Fernanda P. Costa, Kalyanmoy Deb, Antnio Gaspar-Cunha |
| 2013 | CEC | Individual penalty based constraint handling using a hybrid bi-objective and penalty function approach. | Rituparna Datta, Kalyanmoy Deb |
| 2013 | CEC | Differential evolution: Performances and analyses. | Nikhil Padhye, Pulkit Mittal, Kalyanmoy Deb |
| 2013 | CEC | Solving clustering problems using bi-objective evolutionary optimisation and knee finding algorithms. | Gustavo Recio, Kalyanmoy Deb |
| 2013 | CEC | A comparative study of dynamic resampling strategies for guided Evolutionary Multi-objective Optimization. | Florian Siegmund, Amos H. C. Ng, Kalyanmoy Deb |
| 2013 | CEC | Multi-objective Stackelberg game between a regulating authority and a mining company: A case study in environmental economics. | Ankur Sinha, Pekka Malo, Anton Frantsev, Kalyanmoy Deb |
| 2013 | EMO | A Dimensionally-Aware Genetic Programming Architecture for Automated Innovization. | Sunith Bandaru, Kalyanmoy Deb |
| 2013 | EMO | Innovization: Discovery of Innovative Solution Principles Using Multi-Objective Optimization. | Kalyanmoy Deb |
| 2013 | EMO | An Improved Adaptive Approach for Elitist Nondominated Sorting Genetic Algorithm for Many-Objective Optimization. | Himanshu Jain, Kalyanmoy Deb |
| 2013 | GECCO | Evolutionary bilevel optimization. | Ankur Sinha, Pekka Malo, Kalyanmoy Deb |
| 2012 | CEC | Approximating a multi-dimensional Pareto front for a land use management problem: A modified MOEA with an epigenetic silencing metaphor. | Oliver Chikumbo, Erik D. Goodman, Kalyanmoy Deb |
| 2012 | CEC | Probabilistic constraint handling in the framework of joint evolutionary-classical optimization with engineering applications. | Rituparna Datta, Michael S. Bittermann, Kalyanmoy Deb, zer Ciftcioglu |
| 2012 | CEC | An adaptive normalization based constrained handling methodology with hybrid bi-objective and penalty function approach. | Rituparna Datta, Kalyanmoy Deb |
| 2012 | CEC | Handling many-objective problems using an improved NSGA-II procedure. | Kalyanmoy Deb, Himanshu Jain |
| 2012 | CEC | Finding a preferred diverse set of Pareto-optimal solutions for a limited number of function calls. | Florian Siegmund, Amos H. C. Ng, Kalyanmoy Deb |
| 2012 | CEC | Unconstrained scalable test problems for single-objective bilevel optimization. | Ankur Sinha, Pekka Malo, Kalyanmoy Deb |
| 2012 | CEC | Solving high objective problems in fixed interactions with the decision maker. | Ankur Sinha, Anmol Pandey, Kalyanmoy Deb |
| 2012 | GECCO | GECCO 2012 tutorial on evolutionary multiobjective optimization. | Dimo Brockhoff, Kalyanmoy Deb |
| 2012 | GECCO | Meaningful representation and recombination of variable length genomes. | Matt Ryerkerk, Ronald C. Averill, Kalyanmoy Deb, Erik D. Goodman |
| 2012 | PPSN | Temporal Evolution of Design Principles in Engineering Systems: Analogies with Human Evolution. | Kalyanmoy Deb, Sunith Bandaru, Cem Celal Tutum |
| 2011 | CEC | Modified SBX and adaptive mutation for real world single objective optimization. | Sunith Bandaru, Rupesh Tulshyan, Kalyanmoy Deb |
| 2011 | CEC | Higher-level innovization: A case study from Friction Stir Welding process optimization. | Sunith Bandaru, Cem Celal Tutum, Kalyanmoy Deb, Jesper Henri Hattel |
| 2011 | EMO | Automated Innovization for Simultaneous Discovery of Multiple Rules in Bi-objective Problems. | Sunith Bandaru, Kalyanmoy Deb |
| 2011 | EMO | A Bi-objective Based Hybrid Evolutionary-Classical Algorithm for Handling Equality Constraints. | Rituparna Datta, Kalyanmoy Deb |
| 2011 | EMO | Bi-objective Portfolio Optimization Using a Customized Hybrid NSGA-II Procedure. | Kalyanmoy Deb, Ralph E. Steuer, Rajat Tewari, Rahul Tewari |
| 2011 | GECCO | Design knowledge extraction in multi-objective optimization problems. | Sunith Bandaru, Kalyanmoy Deb |
| 2011 | GECCO | Quantitative modeling of customer perception from service data using evolutionary optimization. | Sunith Bandaru, Kalyanmoy Deb, Vineet R. Khare, Rahul Chougule |
| 2011 | GECCO | Multi-objective design and analysis of robot gripper configurations using an evolutionary-classical approach. | Rituparna Datta, Kalyanmoy Deb |
| 2011 | GECCO | An EA-based approach to design optimization using evidence theory. | Rupesh Kumar Srivastava, Kalyanmoy Deb |
| 2011 | GECCO | KKT proximity measure for testing convergence in smooth multi-objective optimization. | Rupesh Tulshyan, Kalyanmoy Deb, Sunith Bandaru |
| 2010 | CEC | Parallelization of binary and real-coded genetic algorithms on GPU using CUDA. | Ramnik Arora, Rupesh Tulshyan, Kalyanmoy Deb |
| 2010 | CEC | Automated discovery of vital knowledge from Pareto-optimal solutions: First results from engineering design. | Sunith Bandaru, Kalyanmoy Deb |
| 2010 | CEC | A fast and accurate solution of constrained optimization problems using a hybrid bi-objective and penalty function approach. | Kalyanmoy Deb, Rituparna Datta |
| 2010 | CEC | Comparing lbest PSO niching algorithms using different position update rules. | Xiaodong Li, Kalyanmoy Deb |
| 2010 | CEC | Hybrid gradient projection based Genetic Algorithms for constrained optimization. | Amit Saha, Rituparna Datta, Kalyanmoy Deb |
| 2010 | CEC | Progressively interactive evolutionary multi-objective optimization method using generalized polynomial value functions. | Ankur Sinha, Kalyanmoy Deb, Pekka J. Korhonen, Jyrki Wallenius |
| 2010 | GECCO | Evolutionary multi-criterion optimization. | Kalyanmoy Deb |
| 2010 | GECCO | Development of efficient particle swarm optimizers by using concepts from evolutionary algorithms. | Kalyanmoy Deb, Nikhil Padhye |
| 2010 | GECCO | Finding multiple solutions for multimodal optimization problems using a multi-objective evolutionary approach. | Kalyanmoy Deb, Amit Saha |
| 2010 | GECCO | Evolutionary algorithms in large-scale open pit mine scheduling. | Christie Myburgh, Kalyanmoy Deb |
| 2010 | GECCO | Evolutionary multi-objective optimization and decision making for selective laser sintering. | Nikhil Padhye, Kalyanmoy Deb |
| 2010 | GECCO | Investigating EA solutions for approximate KKT conditions in smooth problems. | Rupesh Tulshyan, Ramnik Arora, Kalyanmoy Deb, Joydeep Dutta |
| 2009 | CEC | Optimization of the sizing of a solar thermal electricity plant: Mathematical programming versus genetic algorithms. | Jose Manuel Cabello, Jose M. Cejudo, Mariano Luque, Francisco Ruiz, Kalyanmoy Deb, Rahul Tewari |
| 2009 | CEC | Constructing test problems for bilevel evolutionary multi-objective optimization. | Kalyanmoy Deb, Ankur Sinha |
| 2009 | CEC | Comparing GA with MART to tomographic reconstruction of ultrasound images with and without noisy input data. | Shyam P. Kodali, Kalyanmoy Deb, Prabhat Munshi, N. N. Kishore |
| 2009 | CEC | Constrained many-objective optimization: A way forward. | Dhish Kumar Saxena, Tapabrata Ray, Kalyanmoy Deb, Ashutosh Tiwari |
| 2009 | CEC | Local search based evolutionary multi-objective optimization algorithm for constrained and unconstrained problems. | Karthik Sindhya, Ankur Sinha, Kalyanmoy Deb, Kaisa Miettinen |
| 2009 | CEC | Performance assessment of the hybrid Archive-based Micro Genetic Algorithm (AMGA) on the CEC09 test problems. | Santosh Tiwari, Georges M. Fadel, Patrick Koch, Kalyanmoy Deb |
| 2009 | EMO | A Hybrid Integrated Multi-Objective Optimization Procedure for Estimating Nadir Point. | Kalyanmoy Deb, Kaisa Miettinen, Deepak Sharma |
| 2009 | EMO | Solving Bilevel Multi-Objective Optimization Problems Using Evolutionary Algorithms. | Kalyanmoy Deb, Ankur Sinha |
| 2008 | CEC | Deciphering innovative principles for optimal electric brushless D.C. permanent magnet motor design. | Kalyanmoy Deb, Karthik Sindhya |
| 2008 | CEC | Design and validation of a hybrid interactive reference point method for multi-objective optimization. | Madan Sathe, Gnter Rudolph, Kalyanmoy Deb |
| 2008 | CEC | Dimensionality reduction of objectives and constraints in multi-objective optimization problems: A system design perspective. | Dhish Kumar Saxena, Kalyanmoy Deb |
| 2008 | CEC | Towards generating diverse topologies of path tracing compliant mechanisms using a local search based multi-objective genetic algorithm procedure. | Deepak Sharma, Kalyanmoy Deb, N. N. Kishore |
| 2008 | GECCO | In search of no-loss strategies for the game of tic-tac-toe using a customized genetic algorithm. | Anurag Bhatt, Pratul Varshney, Kalyanmoy Deb |
| 2008 | GECCO | A robust evolutionary framework for multi-objective optimization. | Kalyanmoy Deb |
| 2008 | GECCO | Evolutionary practical optimization. | Kalyanmoy Deb |
| 2008 | GECCO | Applicability of genetic algorithms to reconstruction of projected data from ultrasonic tomography. | Shyam P. Kodali, Sunith Bandaru, Kalyanmoy Deb, Prabhat Munshi, N. N. Kishore |
| 2008 | GECCO | A domain-specific crossover and a helper objective for generating minimum weight compliant mechanisms. | Deepak Sharma, Kalyanmoy Deb, N. N. Kishore |
| 2008 | GECCO | AMGA: an archive-based micro genetic algorithm for multi-objective optimization. | Santosh Tiwari, Patrick Koch, Georges M. Fadel, Kalyanmoy Deb |
| 2008 | GECCO | Evolutionary multiobjective optimization. | Eckart Zitzler, Kalyanmoy Deb |
| 2007 | CEC | A novel fuzzy and multiobjective evolutionary algorithm based gene assignment for clustering short time series expression data. | Ashish Anand, Ponnuthurai N. Suganthan, Kalyanmoy Deb |
| 2007 | CEC | The sequential optimization-constraint multi-objective problem and its applications for robust planning of robot paths. | Gideon Avigad, Kalyanmoy Deb |
| 2007 | CEC | Reliability-based optimization for multiple constraints with evolutionary algorithms. | David A. Daum, Kalyanmoy Deb, Jrgen Branke |
| 2007 | CEC | Light beam search based multi-objective optimization using evolutionary algorithms. | Kalyanmoy Deb, Abhay Kumar |
| 2007 | CEC | Finding trade-off solutions close to KKT points using evolutionary multi-objective optimization. | Kalyanmoy Deb, Rahul Tewari, Mayur Dixit, Joydeep Dutta |
| 2007 | CEC | NEMO: neural enhancement for multiobjective optimization. | Aaron Garrett, Gerry V. Dozier, Kalyanmoy Deb |
| 2007 | CEC | A hybrid multi-objective optimization procedure using PCX based NSGA-II and sequential quadratic programming. | Abhay Kumar, Deepak Sharma, Kalyanmoy Deb |
| 2007 | CEC | Three-dimensional offline path planning for UAVs using multiobjective evolutionary algorithms. | Shashi Mittal, Kalyanmoy Deb |
| 2007 | CEC | Trading on infeasibility by exploiting constraint's criticality through multi-objectivization: A system design perspective. | Dhish Kumar Saxena, Kalyanmoy Deb |
| 2007 | CEC | Hybridization of SBX based NSGA-II and sequential quadratic programming for solving multi-objective optimization problems. | Deepak Sharma, Abhay Kumar, Kalyanmoy Deb, Karthik Sindhya |
| 2007 | EMO | Multi-objective Evolutionary Algorithms for Resource Allocation Problems. | Dilip Datta, Kalyanmoy Deb, Carlos M. Fonseca |
| 2007 | EMO | I-MODE: An Interactive Multi-objective Optimization and Decision-Making Using Evolutionary Methods. | Kalyanmoy Deb, Shamik Chaudhuri |
| 2007 | EMO | Dynamic Multi-objective Optimization and Decision-Making Using Modified NSGA-II: A Case Study on Hydro-thermal Power Scheduling. | Kalyanmoy Deb, Udaya Bhaskara Rao N., S. Karthik |
| 2007 | EMO | Reliability-Based Multi-objective Optimization Using Evolutionary Algorithms. | Kalyanmoy Deb, Dhanesh Padmanabhan, Sulabh Gupta, Abhishek Kumar Mall |
| 2007 | EMO | Non-linear Dimensionality Reduction Procedures for Certain Large-Dimensional Multi-objective Optimization Problems: Employing Correntropy and a Novel Maximum Variance Unfolding. | Dhish Kumar Saxena, Kalyanmoy Deb |
| 2007 | GECCO | Evolutionary practical optimization. | Kalyanmoy Deb |
| 2007 | GECCO | Interactive evolutionary multi-objective optimization and decision-making using reference direction method. | Kalyanmoy Deb, Abhishek Kumar |
| 2007 | GECCO | Self-adaptive simulated binary crossover for real-parameter optimization. | Kalyanmoy Deb, Karthik Sindhya, Tatsuya Okabe |
| 2007 | GECCO | Evolutionary multiobjective optimization. | Eckart Zitzler, Kalyanmoy Deb |
| 2006 | CEC | Ergonomic Design of an Optimal Hindi Keyboard for Convenient Use. | Priyendra S. Deshwal, Kalyanmoy Deb |
| 2006 | CEC | Stochastic Evolutionary Multiobjective Environmental/Economic Dispatch. | Robert T. F. Ah King, Harry C. S. Rughooputh, Kalyanmoy Deb |
| 2006 | CEC | Improved Pruning of Non-Dominated Solutions Based on Crowding Distance for Bi-Objective Optimization Problems. | Saku Kukkonen, Kalyanmoy Deb |
| 2006 | CEC | A Population-Based, Parent Centric Procedure for Constrained Real-Parameter Optimization. | Ankur Sinha, Aravind Srinivasan, Kalyanmoy Deb |
| 2006 | GECCO | Towards estimating nadir objective vector using evolutionary approaches. | Kalyanmoy Deb, Shamik Chaudhuri, Kaisa Miettinen |
| 2006 | GECCO | Reference point based multi-objective optimization using evolutionary algorithms. | Kalyanmoy Deb, J. Sundar |
| 2006 | GECCO | Innovization: innovating design principles through optimization. | Kalyanmoy Deb, Aravind Srinivasan |
| 2006 | GECCO | Multi-objective test problems, linkages, and evolutionary methodologies. | Kalyanmoy Deb, Ankur Sinha, Saku Kukkonen |
| 2006 | GECCO | Comparison of multi-modal optimization algorithms based on evolutionary algorithms. | Gulshan Singh, Kalyanmoy Deb |
| 2006 | PPSN | A Fast and Effective Method for Pruning of Non-dominated Solutions in Many-Objective Problems. | Saku Kukkonen, Kalyanmoy Deb |
| 2005 | CEC | Handling constraints in robust multi-objective optimization. | Himanshu Gupta, Kalyanmoy Deb |
| 2005 | CEC | A population-based, steady-state procedure for real-parameter optimization. | Ankur Sinha, Santosh Tiwari, Kalyanmoy Deb |
| 2005 | EMO | Searching for Robust Pareto-Optimal Solutions in Multi-objective Optimization. | Kalyanmoy Deb, Himanshu Gupta |
| 2005 | EMO | Omni-optimizer: A Procedure for Single and Multi-objective Optimization. | Kalyanmoy Deb, Santosh Tiwari |
| 2005 | EMO | Evolutionary Multi-objective Environmental/Economic Dispatch: Stochastic Versus Deterministic Approaches. | Robert T. F. Ah King, Harry C. S. Rughooputh, Kalyanmoy Deb |
| 2005 | EMO | Comparing Classical Generating Methods with an Evolutionary Multi-objective Optimization Method. | Pradyumn Kumar Shukla, Kalyanmoy Deb, Santosh Tiwari |
| 2004 | CEC | Parallelizing multi-objective evolutionary algorithms: cone separation. | Jrgen Branke, Hartmut Schmeck, Kalyanmoy Deb, Reddy S. Maheshwar |
| 2004 | CIBCB | Multiclass protein fold recognition using multiobjective evolutionary algorithms. | Stanley Y. M. Shi, Ponnuthurai N. Suganthan, Kalyanmoy Deb |
| 2004 | GECCO | Optimal Operating Conditions for Overhead Crane Maneuvering Using Multi-objective Evolutionary Algorithms. | Kalyanmoy Deb, Naveen Kumar Gupta |
| 2004 | GECCO | Unveiling Optimal Operating Conditions for an Epoxy Polymerization Process Using Multi-objective Evolutionary Computation. | Kalyanmoy Deb, Kishalay Mitra, Rinku Dewri, Saptarshi Majumdar |
| 2004 | GECCO | Efficiently Solving: A Large-Scale Integer Linear Program Using a Customized Genetic Algorithm. | Kalyanmoy Deb, Koushik Pal |
| 2004 | PPSN | Finding Knees in Multi-objective Optimization. | Jrgen Branke, Kalyanmoy Deb, Henning Dierolf, Matthias Osswald |
| 2003 | CEC | Computationally effective search and optimization procedure using coarse to fine approximations. | Pawan K. S. Nain, Kalyanmoy Deb |
| 2003 | EMO | Searching under Multi-evolutionary Pressures. | Hussein A. Abbass, Kalyanmoy Deb |
| 2003 | EMO | Towards a Quick Computation of Well-Spread Pareto-Optimal Solutions. | Kalyanmoy Deb, Manikanth Mohan, Shikhar Mishra |
| 2003 | EMO | Distributed Computing of Pareto-Optimal Solutions with Evolutionary Algorithms. | Kalyanmoy Deb, Pawan Zope, Abhishek Jain |
| 2003 | EMO | Dynamic Multiobjective Optimization Problems: Test Cases, Approximation, and Applications. | Marco Farina, Kalyanmoy Deb, Paolo Amato |
| 2003 | EMO | Performance Scaling of Multi-objective Evolutionary Algorithms. | Vineet R. Khare, Xin Yao, Kalyanmoy Deb |
| 2003 | EMO | Identification of Multiple Gene Subsets Using Multi-objective Evolutionary Algorithms. | Abbadi Raji Reddy, Kalyanmoy Deb |
| 2002 | CEC | Scalable multi-objective optimization test problems. | Kalyanmoy Deb, Lothar Thiele, Marco Laumanns, Eckart Zitzler |
| 2002 | CEC | An evolutionary algorithm for constrained multi-objective optimization. | Fernando Jimnez, Antonio F. Skarmeta-Gmez, Gracia Snchez, Kalyanmoy Deb |
| 2002 | GECCO | Archiving With Guaranteed Convergence And Diversity In Multi-objective Optimization. | Marco Laumanns, Lothar Thiele, Eckart Zitzler, Kalyanmoy Deb |
| 2002 | PPSN | Running Time Analysis of Multi-objective Evolutionary Algorithms on a Simple Discrete Optimization Problem. | Marco Laumanns, Lothar Thiele, Eckart Zitzler, Emo Welzl, Kalyanmoy Deb |
| 2001 | EMO | Controlled Elitist Non-dominated Sorting Genetic Algorithms for Better Convergence. | Kalyanmoy Deb, Tushar Goel |
| 2001 | EMO | A Hybrid Multi-objective Evolutionary Approach to Engineering Shape Design. | Kalyanmoy Deb, Tushar Goel |
| 2001 | EMO | Constrained Test Problems for Multi-objective Evolutionary Optimization. | Kalyanmoy Deb, Amrit Pratap, T. Meyarivan |
| 2000 | PPSN | On the Desired Behaviors of Self-Adaptive Evolutionary Algorithms. | Hans-Georg Beyer, Kalyanmoy Deb |
| 2000 | PPSN | A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimisation: NSGA-II. | Kalyanmoy Deb, Samir Agrawal, Amrit Pratap, T. Meyarivan |
| 2000 | PPSN | Mechanical Component Design for Multiple Objectives Using Elitist Non-dominated Sorting GA. | Kalyanmoy Deb, Amrit Pratap, Subrajyoti Moitra |
| 1999 | CEC | Solving goal programming problems using multi-objective genetic algorithms. | Kalyanmoy Deb |
| 1999 | CEC | Towards understanding constraint-handling methods in evolutionary algorithms. | Zbigniew Michalewicz, Kalyanmoy Deb, Martin Schmidt, Thomas J. R. Stidsen |
| 1999 | CEC | An alternative constraint handling method for evolution strategies. | Ahmet Irfan Oyman, Kalyanmoy Deb, Hans-Georg Beyer |
| 1999 | CEC | Fuzzy-genetic algorithms and mobile robot navigation among static obstacles. | Dilip Kumar Pratihar, Kalyanmoy Deb, Amitabha Ghosh |
| 1999 | GECCO | Construction of Test Problems for Multi-Objective Optimization. | Kalyanmoy Deb |
| 1999 | GECCO | Self-Adaptation in Real-Parameter Genetic Algorithms with Simulated Binary Crossover. | Kalyanmoy Deb, Hans-Georg Beyer |
| 1998 | FOGA | Understanding Interactions among Genetic Algorithm Parameters. | Kalyanmoy Deb, Samir Agrawal |
| 1998 | PPSN | Analytic Curve Detection from a Noisy Binary Edge Map Using Genetic Algorithm. | Samarjit Chakraborty, Kalyanmoy Deb |
| 1998 | PPSN | Learning to Avoid Moving Obstacles Optimally for Mobile Robots Using a Genetic-Fuzzy Approach. | Kalyanmoy Deb, Dilip Kumar Pratihar, Amitabha Ghosh |
| 1994 | PPSN | Long Path Problems. | Jeffrey Horn, David E. Goldberg, Kalyanmoy Deb |
| 1992 | FOGA | Analyzing Deception in Trap Functions. | Kalyanmoy Deb, David E. Goldberg |
| 1992 | FOGA | Accounting for Noise in the Sizing of Populations. | David E. Goldberg, Kalyanmoy Deb, James H. Clark |
| 1992 | PPSN | Massive Multimodality, Deception, and Genetic Algorithms. | David E. Goldberg, Kalyanmoy Deb, Jeffrey Horn |
| 1992 | PPSN | Ordering Genetic Algorithms and Deception. | Hillol Kargupta, Kalyanmoy Deb, David E. Goldberg |
| 1990 | FOGA | A Comparative Analysis of Selection Schemes Used in Genetic Algorithms. | David E. Goldberg, Kalyanmoy Deb |