Erik D. Goodman

Michigan State University, East Lansing, MI 
Mathematics, Computer Science
"Erik Goodman"
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Zhu S, Xu L, Goodman ED. (2021) Hierarchical Topology-Based Cluster Representation for Scalable Evolutionary Multiobjective Clustering. Ieee Transactions On Cybernetics
Zhu S, Xu L, Goodman ED, et al. (2021) A New Many-Objective Evolutionary Algorithm Based on Generalized Pareto Dominance. Ieee Transactions On Cybernetics
Su Y, Xu L, Goodman ED. (2020) Hybrid Surrogate-Based Constrained Optimization With a New Constraint-Handling Method. Ieee Transactions On Cybernetics
Peng C, Liu HL, Goodman ED. (2020) A Cooperative Evolutionary Framework Based on an Improved Version of Directed Weight Vectors for Constrained Multiobjective Optimization With Deceptive Constraints. Ieee Transactions On Cybernetics
Fan Z, Li W, Cai X, et al. (2019) Difficulty Adjustable and Scalable Constrained Multi-objective Test Problem Toolkit. Evolutionary Computation. 1-28
Li Y, Liu HL, Goodman ED. (2018) Hyperplane-Approximation-Based Method for Many-objective Optimization Problems with Redundant Objectives. Evolutionary Computation. 1-28
Liu H, Chen L, Deb K, et al. (2017) Investigating the Effect of Imbalance Between Convergence and Diversity in Evolutionary Multiobjective Algorithms Ieee Transactions On Evolutionary Computation. 21: 408-425
Cao L, Xu L, Goodman ED. (2016) A Guiding Evolutionary Algorithm with Greedy Strategy for Global Optimization Problems. Computational Intelligence and Neuroscience. 2016: 2565809
Durak M, Durak N, Goodman ED, et al. (2016) Optimizing an agent-based traffic evacuation model using genetic algorithms Proceedings - Winter Simulation Conference. 2016: 288-299
Zhu C, Xu L, Goodman ED. (2016) Generalization of Pareto-Optimality for Many-Objective Evolutionary Optimization Ieee Transactions On Evolutionary Computation. 20: 299-315
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