Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
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From multitask gradient descent to gradient-free evolutionary multitasking: A proof of faster convergence
L Bai, W Lin, A Gupta, YS Ong. Cited by 46
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Evolutionary machine learning with minions: A case study in feature selection
N Zhang, A Gupta, Z Chen, YS Ong. Cited by 54
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Multiobjective optimization and analysis of petroleum refinery catalytic processes: A review
HA Al-Jamimi, GM BinMakhashen, K Deb, TA Saleh. Cited by 52
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Non-linear domain adaptation in transfer evolutionary optimization
R Lim, A Gupta, YS Ong, L Feng, AN Zhang. Cited by 61
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Two-type weight adjustments in MOEA/D for highly constrained many-objective optimization
R Jiao, S Zeng, C Li, YS Ong. Cited by 74
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Choose appropriate subproblems for collaborative modeling in expensive multiobjective optimization
Z Wang, Q Zhang, YS Ong, S Yao, H Liu, J Luo. Cited by 87
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Learnable evolutionary search across heterogeneous problems via kernelized autoencoding
L Zhou, L Feng, A Gupta, YS Ong. Cited by 79
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Indicator-based evolutionary algorithm for solving constrained multiobjective optimization problems
J Yuan, HL Liu, YS Ong, Z He. Cited by 166
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PSAF
J Blank, K Deb. Cited by 7
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An Evolutionary Arms Race Between Burkholderia pseudomallei and Host Immune System: What Do We Know?
C Chomkatekaew, P Boonklang, A Sangphukieo, C Chewapreecha. Cited by 12
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Irrigation Scheduling using Probabilistic Simulation Optimization Framework and Farm-scale Ecohydrological Model at Daily Scale Using Weather Forecasts
A Roy, S Ghosh, RG Murtugudde, PS Narvekar, V Shinde
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Evolutionary multi-objective optimization
K Deb. Cited by 2