Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
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Visualization-aided multi-criteria decision-making using interpretable self-organizing maps
D Yadav, D Nagar, P Ramu, K Deb. Cited by 24
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Visualization and analysis of Pareto-optimal fronts using interpretable self-organizing map (iSOM)
D Nagar, P Ramu, K Deb. Cited by 42
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Prompt evolution for generative ai: A classifier-guided approach
M Wong, YS Ong, A Gupta, KK Bali, C Chen. Cited by 45
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Improved evolutionary operators for sparse large-scale multiobjective optimization problems
I Kropp, AP Nejadhashemi, K Deb. Cited by 75
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Hyperbolic representation learning: Revisiting and advancing
M Yang, M Zhou, R Ying, Y Chen, I King. Cited by 47
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Neural architecture search as multiobjective optimization benchmarks: Problem formulation and performance assessment
Z Lu, R Cheng, Y Jin, KC Tan, K Deb. Cited by 117
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Editorial: Artificial intelligence for data discovery and reuse in endocrinology and metabolism
C Angione, H Wang, NP Burtt
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An Interactive Knowledge-based Multi-objective Evolutionary Algorithm Framework for Practical Optimization Problems
A Ghosh, K Deb, ED Goodman, RC Averill. Cited by 1
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Multi-Space Evolutionary Search for Large-Scale Single-Objective Optimization
L Feng, A Gupta, KC Tan, YS Ong
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The Multi-Factorial Evolutionary Algorithm
L Feng, A Gupta, KC Tan, YS Ong
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Multi-Factorial Evolutionary Algorithm with Adaptive Knowledge Transfer
L Feng, A Gupta, KC Tan, YS Ong
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Explicit Evolutionary Multi-Task Optimization for Capacitated Vehicle Routing Problem
L Feng, A Gupta, KC Tan, YS Ong