Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
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Solving the Bi-objective Traveling Thief Problem with Multi-objective Evolutionary Algorithms
J Blank, K Deb, S Mostaghim. Cited by 36
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WIREFRAME: two-phase, cost-based optimization for conjunctive regular path queries
P Godfrey, N Yakovets, Z Abul-Basher, M Chignell
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Seeking Multiple Solutions: An Updated Survey on Niching Methods and Their Applications
X Li, MG Epitropakis, K Deb, AP Engelbrecht. Cited by 343
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Multi-Criterion Optimization and Decision Making Using Evolutionary Computing
K Deb
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Genetic transfer or population diversification? Deciphering the secret ingredients of evolutionary multitask optimization
A Gupta, YS Ong. Cited by 40
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Concurrently searching branches in software tests generation through multitask evolution
R Sagarna, YS Ong. Cited by 54
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Evolutionary multitasking in combinatorial search spaces: A case study in capacitated vehicle routing problem
L Zhou, L Feng, J Zhong, YS Ong, Z Zhu, EH‐ Sha. Cited by 108
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Partial opposition-based learning using current best candidate solution
S Mahdavi, S Rahnamayan, K Deb. Cited by 9
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Efficient Nondomination Level Update Method for Steady-State Evolutionary Multiobjective Optimization
K Li, K Deb, Q Zhang, Q Zhang. Cited by 105
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Evolutionary multitasking in permutation-based combinatorial optimization problems: Realization with TSP, QAP, LOP, and JSP
Y Yuan, YS Ong, A Gupta, PS Tan, H Xu. Cited by 126
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Data mining methods for knowledge discovery in multi-objective optimization: Part B - New developments and applications
S Bandaru, AHC Ng, K Deb. Cited by 64
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Data mining methods for knowledge discovery in multi-objective optimization: Part A - Survey
S Bandaru, AHC Ng, K Deb. Cited by 191