Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
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An Initial Investigation of Data-Lean Transfer Evolutionary Optimization with Probabilistic Priors
R Lim, A Gupta, YS Ong. Cited by 2
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0.08mm2 128nW MFCC Engine for Ultra-low Power, Always-on Smart Sensing Applications
YS Chong, WL Goh, YS Ong, VP Nambiar, AT Do. Cited by 1
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Image-based benchmarking and visualization for large-scale global optimization
KR Harrison, AA Bidgoli, S Rahnamayan, K Deb. Cited by 4
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Guest editorial special issue on multitask evolutionary computation
A Gupta, YS Ong, KA De Jong, M Zhang. Cited by 2
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Tightening regret bounds for scalable transfer optimization with Gaussian process surrogates
A Gupta, R Lim, CC Ooi, YS Ong. Cited by 3
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Evolutionary optimization of large complex problems
H Wang, C Sun, J Ding, Y Ong. Cited by 3
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A multifactorial differential evolution with hybrid global and local search strategies
M Xu, Y Zheng, YS Ong, Z Zhu, X Ma. Cited by 4
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Visualization-aided multi-criterion decision-making using reference direction based Pareto race
D Yadav, P Ramu, K Deb. Cited by 5
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Approximations for Pareto and proper Pareto solutions and their KKT conditions
P Kesarwani, PK Shukla, J Dutta, K Deb. Cited by 7
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A survey of learning on small data: generalization, optimization, and challenge
X Cao, W Bu, S Huang, M Zhang, IW Tsang, YS Ong, JT Kwok. Cited by 6
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Parameter tuning and control: A case study on differential evolution with polynomial mutation
J Blank, K Deb. Cited by 8
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Large-scale multi-objective optimization for water quality in Chesapeake Bay watershed
G Toscano, JS Hernandez–Suarez, J Blank, P Nejadhashemi, K Deb, et al. Cited by 7