| 2024 | WSC | Enhancing Digital Twins With Deep Reinforcement Learning: A Use Case in Maintenance Prioritization. | Siyuan Chen, Paulo Victor Lopes, Silvan Marti, Mohan Rajashekarappa, Sunith Bandaru, Christina Windmark, Jon Bokrantz, Anders Skoogh |
| 2022 | CEC | A Modular Knowledge-Driven Mutation Operator for Reference-Point Based Evolutionary Algorithms. | Henrik Smedberg, Sunith Bandaru |
| 2022 | GECCO | Desirable properties of performance indicators for assessing interactive evolutionary multiobjective optimization methods. | Pouya Aghaei Pour, Sunith Bandaru, Bekir Afsar, Kaisa Miettinen |
| 2022 | WSC | Enabling Knowledge Discovery from Simulation-Based Multi-Objective Optimization in Reconfigurable Manufacturing Systems. | Carlos Alberto Barrera Diaz, Henrik Smedberg, Sunith Bandaru, Amos H. C. Ng |
| 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 | WSC | Aircraft Assembly Ramp-Up Planning Using a Hybrid Simulation-Optimization Approach. | Amos H. C. Ng, Jacob Bernedixen, Martin Andersson, Sunith Bandaru, Thomas Lezama |
| 2019 | EMO | Trend Mining: A Visualization Technique to Discover Variable Trends in the Objective Space. | Sunith Bandaru, Amos H. C. Ng |
| 2019 | EMO | Generating Uniformly Distributed Points on a Unit Simplex for Evolutionary Many-Objective Optimization. | Kalyanmoy Deb, Sunith Bandaru, Haitham Seada |
| 2019 | GECCO | A parameterless performance metric for reference-point based multi-objective evolutionary algorithms. | Sunith Bandaru, Henrik Smedberg |
| 2018 | GECCO | An empirical comparison of metamodeling strategies in noisy environments. | Sunith Bandaru, Amos H. C. Ng |
| 2016 | CEC | Towards optimal algorithmic parameters for simulation-based multi-objective optimization. | Martin Andersson, Sunith Bandaru, Amos H. C. Ng |
| 2016 | CEC | Metamodel-based prediction of performance metrics for bilevel parameter tuning in MOEAs. | Sunith Bandaru, Martin Andersson, Amos H. C. Ng |
| 2016 | GECCO | Tuning of Multiple Parameter Sets in Evolutionary Algorithms. | Martin Andersson, Sunith Bandaru, Amos H. C. Ng |
| 2015 | CEC | Parameter tuned CMA-ES on the CEC'15 expensive problems. | Martin Andersson, Sunith Bandaru, Amos H. C. Ng, Anna Syberfeldt |
| 2015 | EMO | Parameter Tuning of MOEAs Using a Bilevel Optimization Approach. | Martin Andersson, Sunith Bandaru, Amos H. C. Ng, Anna Syberfeldt |
| 2015 | EMO | Temporal Innovization: Evolution of Design Principles Using Multi-objective Optimization. | Sunith Bandaru, Kalyanmoy Deb |
| 2015 | WSC | On the scalability of meta-models in simulation-based optimization of production systems. | Sunith Bandaru, Amos H. C. Ng |
| 2015 | WSC | An interactive decision support system using simulation-based optimization and data mining. | Ingemar Karlsson, Amos H. C. Ng, Anna Syberfeldt, Sunith Bandaru |
| 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 |
| 2013 | CEC | A parameterless-niching-assisted bi-objective approach to multimodal optimization. | Sunith Bandaru, Kalyanmoy Deb |
| 2013 | EMO | A Dimensionally-Aware Genetic Programming Architecture for Automated Innovization. | Sunith Bandaru, Kalyanmoy Deb |
| 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 | 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 | KKT proximity measure for testing convergence in smooth multi-objective optimization. | Rupesh Tulshyan, Kalyanmoy Deb, Sunith Bandaru |
| 2010 | CEC | Automated discovery of vital knowledge from Pareto-optimal solutions: First results from engineering design. | Sunith Bandaru, 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 |