Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
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Half a dozen real-world applications of evolutionary multitasking, and more
A Gupta, L Zhou, YS Ong, Z Chen, Y Hou. Cited by 117
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Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
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Physician Experience Design (PXD): More Usable Machine Learning Prediction for Clinical Decision Making.
L Wang, M Chignell, Y Zhang, AD Pinto, FA Razak, K Sheehan, AA Verma. Cited by 6
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[Guest Editorial]
L Feng, H Wang, YS Ong, KC Tan, Y Jin
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Evolutionary multi- and many-objective optimization
K Deb, J Blank. Cited by 2
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Inference of Other’s Minds with Limited Information in Evolutionary Robotics
KJ Kim, SB Cho
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Dynamic multi-objective optimization
M Helbig, K Deb, A Engelbrecht
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An approximate MIP-DoM calculation for multi-objective optimization using affinity propagation clustering algorithm
CLV Lopes, FVC Martins, EF Wanner, K Deb
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A Learning-based Innovized Progress Operator for Faster Convergence in Evolutionary Multi-objective Optimization COIN Report Number 2021003
S MITTAL, DK SAXENA, K DEB, ED GOODMAN
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Systematic development of single-objective optimization approaches for Chesapeake Bay watershed management
G Toscano, JS Hernandez-Suarez, J Blank, P Nejadhashemi, K Deb. Cited by 1
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Multi-objective Coevolution and Decision-making for Cooperative and Competitive Environments
A Suresh, J Kongmanee, K Deb, VN Boddeti. Cited by 2
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Development of an efficient optimization framework for improving water quality in the chesapeake bay watershed
J Hernandez Suarez, G Toscano-Pulido, AP Nejadhashemi, K Deb. Cited by 1