Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
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Towards a hierarchical optimization framework for spatially targeting incentive policies to promote green infrastructure amidst multiple objectives and uncertainty
B Barnhart, PM Mayer, M Papenfus, M Bostian, K Deb, Z Wu
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Non-dominated Sorting Based Multi/Many-Objective Optimization: Two Decades of Research and Application
H Seada, K Deb. Cited by 25
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Improving the performance of genetic algorithms for land-use allocation problems
J Schwaab, K Deb, ED Goodman, S Lautenbach, MJV Strien, A Grêt‐Regamey. Cited by 49
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Multiproblem Surrogates: Transfer Evolutionary Multiobjective Optimization of Computationally Expensive Problems
ATW Min, YS Ong, A Gupta, CK Goh. Cited by 156
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Optimization of Multi-Omic Genome-Scale Models: Methodologies, Hands-on Tutorial, and Perspectives
S Vijayakumar, M Conway, P Lió, C Angione. Cited by 19
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Handling Multiple Scenarios in Evolutionary Multiobjective Numerical Optimization
K Deb, L Zhu, SS Kulkarni. Cited by 33
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A Novel Class of Test Problems for Performance Evaluation of Niching Methods
A Ahrari, K Deb. Cited by 20
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Insights on Transfer Optimization: Because Experience is the Best Teacher
A Gupta, YS Ong, L Feng. Cited by 384
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Finding near-optimum and diverse solutions for a large-scale engineering design problem
A Gaur, AKMKA Talukder, K Deb, S Tiwari, S Xu, DB Jones. Cited by 6
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Risk Control of Best Arm Identification in Multi-armed Bandits via Successive Rejects
X Yu, I King, MRT Lyu. Cited by 2
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Model-Assisted Planning of Groundwater Development
S Ghosh
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Evolutionary Multi-task Learning for Modular Knowledge Representation in Neural Networks
R Chandra, A Gupta, YS Ong, CK Goh. Cited by 51