Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
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Multiobjective Multifactorial Optimization in Evolutionary Multitasking
A Gupta, YS Ong, L Feng, KC Tan. Cited by 468
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Towards faster convergence of evolutionary multi-criterion optimization algorithms using Karush Kuhn Tucker optimality based local search
M Abouhawwash, H Seada, K Deb. Cited by 30
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Design optimization of an artificial lateral line system incorporating flow and sensor uncertainties
A Ahrari, H Lei, MA Sharif, K Deb, X Tan. Cited by 20
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Multimodal Optimization by Covariance Matrix Self-Adaptation Evolution Strategy with Repelling Subpopulations
A Ahrari, K Deb, M Preuß. Cited by 78
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A robust multi-objective approach to balance severity and importance of refactoring opportunities
MW Mkaouer, M Kessentini, MÓ Cinnéide, S Hayashi, K Deb. Cited by 62
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Multi-objective code-smells detection using good and bad design examples
U Mansoor, M Kessentini, BR Maxim, K Deb. Cited by 62
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The Boon of Gene-Culture Interaction for Effective Evolutionary Multitasking
B Da, A Gupta, YS Ong, L Feng. Cited by 13
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Evolutionary Multi-task Learning for Modular Training of Feedforward Neural Networks
R Chandra, A Gupta, YS Ong, CK Goh. Cited by 40
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Using multi-objective optimization to support urban planning
J Schwaab, K Deb, ED Goodman, S Lautenbach, MJV Strien, A Grêt‐Regamey
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Hybrid Dynamic Resampling Algorithms for Evolutionary Multi-objective Optimization of Invariant-Noise Problems
F Siegmund, AHC Ng, K Deb. Cited by 6
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Variable Interaction in Multi-objective Optimization Problems
K Li, MN Omidvar, K Deb, X Yao. Cited by 20
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SwarmGuide: Towards Multiple-Query Optimization in Graph Databases.
Z Abul-Basher, N Yakovets, P Godfrey, M Chignell. Cited by 3