Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
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A directed batch growing self-organizing map based niching differential evolution for multimodal optimization problems
M Shankar, P Ramu, K Deb. Cited by 6
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Diagnostic benchmarking of many-objective evolutionary algorithms for real-world problems
J Zatarain Salazar, D Hadka, P Reed, H Seada, K Deb. Cited by 15
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Handling objectives with heterogeneous evaluation times in surrogate-assisted evolutionary multi-objective optimization
B Santoshkumar, K Deb. Cited by 4
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Handling objective preference and variable uncertainty in evolutionary multi-objective optimization
D Yadav, P Ramu, K Deb. Cited by 8
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Fifty years of multi-objective optimization and decision-making: From mathematical programming to evolutionary computation
M Ehrgott, M Köksalan, M Kadziński, K Deb. Cited by 6
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Using interpretable survival analysis to assess hospital length of stay
Y Li, T Hall, FA Razak, AA Verma, M Chignell, L Wang. Cited by 2
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Pareto Set Learning Through Genetic Programming for Multiobjective Dynamic Scheduling
M Xu, Y Mei, F Zhang, YS Ong, M Zhang. Cited by 1
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Multiobjective Competitive Co-Evolutionary Optimization and Regularity-Based Decision-Making for Two-Agent Wargame Strategy Optimization
R Guha, R Mckendrick, B Feest, K Deb. Cited by 4
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Handling Objectives With Heterogeneous Evaluation Times in Surrogate-Assisted Evolutionary Multiobjective Optimization
B Santoshkumar, K Deb. Cited by 10
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Contrastive Generative Learning for Enhanced Multiagent Decision-Making under Uncertainty
Y Pan, X Xiang, Y Zeng, B Ma, G Liu, YS Ong
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Niching Genetic Programming for Co-Joint Optimization: A Case Study on Replenishment and Transshipment Policies in Dynamic Multi-Site Inventory Management
M Xu, J Chen, N Doan, JWE Tay, PS Tan, YS Ong
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CondenseLM: LLMs-driven Text Dataset Condensation via Reward Matching
C Shen, YS Ong, JT Zhou. Cited by 1