Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
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Towards a Better Diversity of Evolutionary Multi-Criterion Optimization Algorithms using Local Searches
H Seada, M Abouhawwash, K Deb. Cited by 10
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Adaptive Use of Innovization Principles for a Faster Convergence of Evolutionary Multi-Objective Optimization Algorithms
A Gaur, K Deb. Cited by 20
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Best Order Sort
PC Roy, MM Islam, K Deb. Cited by 47
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Breaking the Billion-Variable Barrier in Real-World Optimization Using a Customized Evolutionary Algorithm
K Deb, C Myburgh. Cited by 55
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A Generative Kriging Surrogate Model for Constrained and Unconstrained Multi-objective Optimization
R Hussein, K Deb. Cited by 62
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Dynamic traffic light timing optimization model using bat algorithm
K Jintamuttha, B Watanapa, N Charoenkitkarn. Cited by 11
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A preliminary study on distance selection in probabilistic memetic framework for capacitated arc routing problem
Z Ye, L Feng, YS Ong, K Liu, C Chen, EH‐ Sha
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Adaptive indicator-based evolutionary algorithm for multiobjective optimization problems
S Jiang, L Feng, CK Heng, QC Nguyen, YS Ong, ANS Zhang, PS Tan. Cited by 7
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Application of route flexibility in data-starved vehicle routing problem with time windows
CK Heng, QC Nguyen, S Jiang, PS Tan, A Gupta, B Da, YS Ong. Cited by 3
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Pareto rank learning for multi-objective bi-level optimization: A study in composites manufacturing
A Gupta, YS Ong, P Kelly, CK Goh. Cited by 4
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Towards adaptive weight vectors for multiobjective evolutionary algorithm based on decomposition
S Jiang, L Feng, D Yang, CK Heng, YS Ong, ANS Zhang, PS Tan, Z Cai. Cited by 22
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Evolutionary multitasking across single and multi-objective formulations for improved problem solving
B Da, A Gupta, YS Ong, L Feng. Cited by 51