| 2023 | EMO | IK-EMOViz: An Interactive Knowledge-Based Evolutionary Multi-objective Optimization Framework. | Abhiroop Ghosh, Kalyanmoy Deb, Ronald C. Averill, Erik D. Goodman |
| 2023 | GECCO | MOAZ: A Multi-Objective AutoML-Zero Framework. | Ritam Guha, Wei Ao, Stephen Kelly, Vishnu Boddeti, Erik D. Goodman, Wolfgang Banzhaf, 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 | 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 |
| 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 | ECCV | NSGANetV2: Evolutionary Multi-objective Surrogate-Assisted Neural Architecture Search. | Zhichao Lu, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti |
| 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 |
| 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 |
| 2018 | GECCO | A differential prediction model for evolutionary dynamic multiobjective optimization. | Leilei Cao, Lihong Xu, Erik D. Goodman, Shuwei Zhu, Hui Li |
| 2018 | GECCO | Improving greenhouse environmental control using crop-model-driven multi-objective optimization. | Jos R. Llera, Erik D. Goodman, Erik S. Runkle, Lihong Xu |
| 2017 | GECCO | Towards an epigenetics-inspired control system for power dispatch problem. | Daniel J. Couvertier, Erik D. Goodman, 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 | 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 |
| 2015 | ICNC | An opposition-based repair operator for multi-objective evolutionary algorithm in constrained optimization problems. | Zhun Fan, Han Huang, Wenji Li, Shuxiang Xie, Xinye Cai, Erik D. Goodman |
| 2015 | WSC | Optimizing an agent-based traffic evacuation model using genetic algorithms. | Matthew Durak, Nicholas Durak, Erik D. Goodman, Robert Till |
| 2014 | GECCO | Introduction to genetic algorithms. | Erik D. Goodman |
| 2014 | MICCAI | Breast Cancer Detection Using Haralick Features of Images Reconstructed from Ultra Wideband Microwave Scans. | Blair D. Fleet, Jinyao Yan, David B. Knoester, Meng Yao, John R. Deller Jr., Erik D. Goodman |
| 2013 | GECCO | Introduction to genetic algorithms. | Erik D. Goodman |
| 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 | GECCO | Introduction to genetic algorithms. | Erik D. Goodman |
| 2012 | GECCO | Meaningful representation and recombination of variable length genomes. | Matt Ryerkerk, Ronald C. Averill, Kalyanmoy Deb, Erik D. Goodman |
| 2012 | ICMLA | Real-Time Statistical Background Learning for Foreground Detection under Unstable Illuminations. | Dawei Li, Lihong Xu, Erik D. Goodman |
| 2011 | GECCO | Introduction to genetic algorithms. | Erik D. Goodman |
| 2010 | GECCO | Introduction to genetic algorithms. | Erik D. Goodman |
| 2010 | GECCO | A control optimization algorithm for greenhouse climate control problems. | Haigen Hu, Lihong Xu, Erik D. Goodman |
| 2010 | GECCO | Solving multiobjective flexible job-shop scheduling using an adaptive representation. | Prakarn Unachak, Erik D. Goodman |
| 2010 | ICARCV | Online background learning for illumination-robust foreground detection. | Dawei Li, Lihong Xu, Erik D. Goodman |
| 2009 | GECCO | Evolved finite state controller for hybrid system. | Jean-Franois Dupuis, Zhun Fan, Erik D. Goodman |
| 2009 | GECCO | Introduction to genetic algorithms. | Erik D. Goodman |
| 2009 | GECCO | Non-even spread NSGA-II and its application to conflicting multi-objective compatible control. | Qingsong Hu, Lihong Xu, Erik D. Goodman |
| 2009 | GECCO | Dynamic multi-objective control of IPMCs propelled robot fish based on NSGA-II. | Qingsong Hu, Lihong Xu, Erik D. Goodman |
| 2009 | GECCO | SRDE: an improved differential evolution based on stochastic ranking. | Jinchao Liu, Zhun Fan, Erik D. Goodman |
| 2009 | GECCO | SRaDE: an adaptive differential evolution based on stochastic ranking. | Jinchao Liu, Zhun Fan, Erik D. Goodman |
| 2009 | GECCO | Evolutionary search and convertible agents for the simultaneous type and dimensional synthesis of planar mechanisms. | John C. Oliva, Erik D. Goodman |
| 2009 | GECCO | Tree-structure-aware GP operators for automatic gait generation of quadruped robot. | Kisung Seo, Soohwan Hyun, Erik D. Goodman |
| 2009 | GECCO | Adaptive representation for flexible job-shop scheduling and rescheduling. | Prakarn Unachak, Erik D. Goodman |
| 2009 | GECCO | A hybrid GA-based fuzzy classifying approach to urinary analysis modeling. | Ping Wu, Erik D. Goodman, Tang Jiang, Min Pei |
| 2009 | GECCO | An improved MOCC with feedback control structure based on preference. | Lihong Xu, Bingkun Zhu, Erik D. Goodman |
| 2008 | GECCO | Introduction to genetic algorithms. | Erik D. Goodman |
| 2008 | GECCO | A practical search index and population size analysis based on the building block hypothesis. | Zhenhua Li, Erik D. Goodman |
| 2007 | CEC | A compatible energy-saving control algorithm for a class of conflicted multi-objective control problem. | Lihong Xu, Qingsong Hu, Erik D. Goodman |
| 2007 | GECCO | Genetically generated double-level fuzzy controller with a fuzzy adjustment strategy. | Sofiane Achiche, Wei Wang, Zhun Fan, Ali Grcan zkil, Torben Srensen, Jiachuan Wang, Erik D. Goodman |
| 2007 | GECCO | Introduction to genetic algorithms. | Erik D. Goodman |
| 2007 | GECCO | Learning building block structure from crossover failure. | Zhenhua Li, Erik D. Goodman |
| 2005 | EUROGP | On Prediction of Epileptic Seizures by Computing Multiple Genetic Programming Artificial Features. | Hiram A. Firpi, Erik D. Goodman, Javier R. Echauz |
| 2005 | GECCO | Epileptic seizure detection by means of genetically programmed artificial features. | Hiram A. Firpi, Erik D. Goodman, Javier R. Echauz |
| 2005 | GECCO | Open-ended robust design of analog filters using genetic programming. | Jianjun Hu, Xiwei Zhong, Erik D. Goodman |
| 2005 | GECCO | Design of air pump system using bond graph and genetic programming method. | Kisung Seo, Erik D. Goodman, Ronald C. Rosenberg |
| 2004 | CEC | Hierarchical evolutionary synthesis of MEMS. | Zhun Fan, Erik D. Goodman, Jiachuan Wang, Ronald C. Rosenberg, Kisung Seo, Jianjun Hu |
| 2004 | CEC | Wireless access point configuration by genetic programming. | Jianjun Hu, Erik D. Goodman |
| 2004 | GECCO | A Statistical Model of GA Dynamics for the OneMax Problem. | Bulent Buyukbozkirli, Erik D. Goodman |
| 2004 | GECCO | Robust and Efficient Genetic Algorithms with Hierarchical Niching and a Sustainable Evolutionary Computation Model. | Jianjun Hu, Erik D. Goodman |
| 2004 | GECCO | Hierarchical Breeding Control for Efficient Topology/Parameter Evolution. | Kisung Seo, Jianjun Hu, Zhun Fan, Erik D. Goodman, Ronald C. Rosenberg |
| 2003 | GECCO | System-Level Synthesis of MEMS via Genetic Programming and Bond Graphs. | Zhun Fan, Kisung Seo, Jianjun Hu, Ronald C. Rosenberg, Erik D. Goodman |
| 2003 | GECCO | Genetic Algorithm Optimized Feature Transformation - A Comparison with Different Classifiers. | Zhijian Huang, Min Pei, Erik D. Goodman, Yong Huang, Gaoping Li |
| 2003 | GECCO | HEMO: A Sustainable Multi-objective Evolutionary Optimization Framework. | Jianjun Hu, Kisung Seo, Zhun Fan, Ronald C. Rosenberg, Erik D. Goodman |
| 2003 | GECCO | Dense and Switched Modular Primitives for Bond Graph Model Design. | Kisung Seo, Zhun Fan, Jianjun Hu, Erik D. Goodman, Ronald C. Rosenberg |
| 2002 | CEC | The hierarchical fair competition (HFC) model for parallel evolutionary algorithms. | Jianjun Hu, Erik D. Goodman |
| 2002 | GECCO | Exploring Multiple Design Topologies Using Genetic Programming And Bond Graphs. | Zhun Fan, Kisung Seo, Ronald C. Rosenberg, Jianjun Hu, Erik D. Goodman |
| 2002 | GECCO | Adaptive Hierarchical Fair Competition (AHFC) Model For Parallel Evolutionary Algorithms. | Jianjun Hu, Erik D. Goodman, Kisung Seo, Min Pei |
| 2002 | GECCO | Structure Fitness Sharing (SFS) For Evolutionary Design By Genetic Programming. | Jianjun Hu, Kisung Seo, Shaobo Li, Zhun Fan, Ronald C. Rosenberg, Erik D. Goodman |
| 1999 | CEC | Scheduling variance loss using population level annealing for evolutionary computation. | Arnold L. Patton, Erik D. Goodman, William F. Punch III |
| 1997 | ICTAI | Toward the Optimization of a Class of Black Box Optimization Algorithms. | Gang Wang, Erik D. Goodman, William F. Punch III |
| 1991 | ICRA | A method for accurate simulation of robotic spray application using empirical parameterization. | Erik D. Goodman, Leslie T. W. Hoppensteradt |
| 1988 | ICML | Midgard: A Genetic Approach to Adaptive Load Balancing for Distributed Systems. | Adrian V. Sannier II, Erik D. Goodman |