Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
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2 Multi-objective
P Gupta, V Kumar, DK Pratihar, K Deb
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The Digital Ecosystem of Beliefs: does evolution favour AI over humans?
DM Bossens, S Feng, YS Ong. Cited by 1
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Scalable Polynomial RegEM (a) O for Multi-lMany-objective Platform-based Design Optimization Problems
R Guha, K Deb. Cited by 2
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Pareto set representation learning with application to multi-criteria order optimization
CS Tan, A Gupta, YS Ong, SK Lam, M Pratama, PS Tan. Cited by 2
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On a Better Understanding of Unique Identifiers of Pareto Solutions for Multi-criterion Optimization, Visualization, and Decision-making
A Suresh, K Deb. Cited by 1
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Multi-objective optimization of rotational magnetorheological abrasive flow finishing process
P Gupta, V Kumar, DK Pratihar, K Deb. Cited by 4
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Efficient feature selection techniques for accurate cancer analysis using krill heard optimization
SN Singh, S Mishra, SK Satapathy, SB Cho, PK Mallick. Cited by 1
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Covariance-adaptive sequential black-box optimization for diffusion targeted generation
Y Lyu, KY Tan, YS Ong, IW Tsang. Cited by 1
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Surrogate-assisted multi-objective optimization for handling objectives with heterogeneous evaluation times: unconstrained problems
B Santoshkumar, K Deb. Cited by 2
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Multi-Task Learning with Multi-Task Optimization
L Bai, A Gupta, YS Ong. Cited by 2
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Language Model Evolutionary Algorithms for Recommender Systems: Benchmarks and Algorithm Comparisons
J Liu, Z Sun, S Feng, C Chen, YS Ong. Cited by 2
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Inverse multiobjective optimization by generative model prompting
J Liu, A Gupta, YS Ong, PS Tan. Cited by 3