Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
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Machine Learning Assisted Evolutionary Multi-objective Optimization
K Deb, DK Saxena, S Mittal. Cited by 1
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MaNSGA-II: Many-Objective NSGA-II
LM Pang, H Ishibuchi, K Deb, K Shang. Cited by 4
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Hot off the Press: Bayesian Inverse Transfer in Evolutionary Multiobjective Optimization
J Liu, A Gupta, YS Ong
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Hierarchical Convergence to Multiple Alternate Solutions: Population versus Point-based Algorithms
A Khan, K Deb. Cited by 2
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Finding Multiple Alternate Solutions Using Evolutionary Multi-Objective Optimization
K Deb, R Guha
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Evolutionary Optimization of Physics-Informed Neural Networks: Survey and Prospects
JC Wong, A Gupta, CC Ooi, PH Chiu, J Liu, YS Ong
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EvoSort: A Genetic-Algorithm-Based Adaptive Parallel Sorting Framework for Large-Scale High Performance Computing
S Raj, K Deb. Cited by 1
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Dynamic performance evaluation of evolutionary multi-objective optimization algorithms for gait cycle optimization of a 25-DOFs NAO humanoid robot
P Gupta, DK Pratihar, K Deb. Cited by 2
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Convergence of Expensive Multi-Objective Optimizers: From ParEGO to ExTrEMO
H Wu, T Wei, L Jiao, M Xu, YS Ong, Y Jin. Cited by 1
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Beyond Performance: Designing a Super-Resolution Architecture Search Space and a Hybrid Multi-Objective Approach for Neural Architecture Optimization
JLL García, R Monroy, VAS Hernández, K Deb. Cited by 2
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An adaptive weight optimization algorithm based on decision variable grouping for large-scale multi-objective optimization problems
H Wang, S Zhu, W Fang, K Deb. Cited by 4
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Addressing Heterogeneous Evaluation Times in Constrained Multi-Objective Optimization using a Mixed-Fidelity Evaluation Technique: Proof-of-Concept Results
B Santoshkumar, K Deb