Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
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Comparison between MOEA/D and NSGA-III on a set of novel many and multi-objective benchmark problems with challenging difficulties
H Li, K Deb, Q Zhang, PN Suganthan, L Chen. Cited by 164
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Variable-Length Pareto Optimization via Decomposition-Based Evolutionary Multiobjective Algorithm
H Li, K Deb, Q Zhang. Cited by 28
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Social dynamics modeling of chrono-nutrition
AD Stefano, M Scatà , S Vijayakumar, C Angione, AL Corte, P Lió. Cited by 21
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Back to the Roots: Multi-X Evolutionary Computation
A Gupta, YS Ong. Cited by 48
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Genetic Algorithm-Based Deep Learning Ensemble for Detecting Database Intrusion via Insider Attack
SJ Bu, SB Cho. Cited by 4
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Survey on Multi-Output Learning
D Xu, Y Shi, IW Tsang, YS Ong, C Gong, X Shen. Cited by 247
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Simulation Optimization of Water Usage and Crop Yield Using Precision Irrigation
PC Roy, AK Guber, M Abouali, AP Nejadhashemi, K Deb, AJM Smucker. Cited by 4
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Generating Uniformly Distributed Points on a Unit Simplex for Evolutionary Many-Objective Optimization
K Deb, S Bandaru, H Seada. Cited by 12
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Trust-Region Based Multi-objective Optimization for Low Budget Scenarios
PC Roy, R Hussein, J Blank, K Deb. Cited by 11
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Enhancing Predictive Power of Cluster-Boosted Regression With Text-Based Indexing
W Kongburan, M Chignell, N Charoenkitkarn, JH Chan. Cited by 5
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Memetic Computation: The Mainspring of Knowledge Transfer in a Data-Driven Optimization Era
A Gupta, YS Ong. Cited by 42
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Uncertainty Handling in Bilevel Optimization for Robust and Reliable Solutions
Z Lu, K Deb, A Sinha. Cited by 4