Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
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LLM2FEA: Discover novel designs with generative evolutionary multitasking
M Wong, J Liu, T Rios, S Menzel, YS Ong. Cited by 7
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Generative ai-based prompt evolution engineering design optimization with vision-language model
M Wong, T Rios, S Menzel, YS Ong. Cited by 7
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Transfer optimization for heterogeneous drone delivery and pickup problem
X Wen, G Wu, J Liu, YS Ong. Cited by 11
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Large-scale multiobjective optimization for watershed planning and assessment
G Toscano-Pulido, H Razavi, AP Nejadhashemi, K Deb, L Linker. Cited by 16
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Analysis and optimization of gait cycle of 25-dof NAO robot using particle swarm optimization and genetic algorithms
P Gupta, DK Pratihar, K Deb. Cited by 12
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An evolutionary functional link artificial neural network for assessment of compressive strength of concrete structures
SC Nayak, S Dehuri, SB Cho. Cited by 10
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Optimal design of electric machine with efficient handling of constraints and surrogate assistance
B Khoshoo, J Blank, TQ Pham, K Deb, SN Foster. Cited by 14
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Parallel multi-objective optimization for expensive and inexpensive objectives and constraints
R de Winter, B Milatz, J Blank, N van Stein, T Bäck, K Deb. Cited by 18
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ExTrEMO: Transfer evolutionary multiobjective optimization with proof of faster convergence
J Liu, A Gupta, C Ooi, YS Ong. Cited by 15
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Progress and opportunities of foundation models in bioinformatics
Q Li, Z Hu, Y Wang, L Li, Y Fan, I King, G Jia, S Wang, L Song, Y Li. Cited by 61
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Evolution-guided Bayesian optimization for constrained multi-objective optimization in self-driving labs
AKY Low, F Mekki-Berrada, A Gupta, A Ostudin, J Xie, E Vissol-Gaudin, et al. Cited by 77
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Large language models as evolutionary optimizers
S Liu, C Chen, X Qu, K Tang, YS Ong. Cited by 184