Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
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Co-learning Bayesian optimization
Z Guo, YS Ong, T He, H Liu. Cited by 11
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Importance prioritized policy distillation
X Qu, YS Ong, A Gupta, P Wei, Z Sun, Z Ma. Cited by 8
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GPSAF: A Generalized Probabilistic Surrogate-Assisted Framework for Constrained Single-and Multi-objective Optimization
J Blank, K Deb. Cited by 8
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Exploiting inactive examples for natural language generation with data rejuvenation
W Jiao, X Wang, S He, Z Tu, I King, MR Lyu. Cited by 9
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Minimizing expected deviation in upper level outcomes due to lower level decision making in hierarchical multiobjective problems
K Deb, Z Lu, I Kropp, JS Hernandez-Suarez, R Hussein, S Miller, et al. Cited by 12
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Ensemble of deep convolutional learning classifier system based on genetic algorithm for database intrusion detection
SJ Bu, HB Kang, SB Cho. Cited by 16
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pysamoo: Surrogate-assisted multi-objective optimization in python
J Blank, K Deb. Cited by 14
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Resnorm: Tackling long-tailed degree distribution issue in graph neural networks via normalization
L Liang, Z Xu, Z Song, I King, Y Qi, J Ye. Cited by 16
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A localized high-fidelity-dominance-based many-objective evolutionary algorithm
DK Saxena, S Mittal, S Kapoor, K Deb. Cited by 18
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Bi-objective optimization of transcritical CO2 heat pump systems
A Okasha, N Müller, K Deb. Cited by 26
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Building a novel classifier based on teaching learning based optimization and radial basis function neural networks for non-imputed database with irrelevant features
CSK Dash, A Kumar Behera, S Dehuri, SB Cho. Cited by 21
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Handling constrained multi-objective optimization problems with heterogeneous evaluation times: proof-of-principle results
J Blank, K Deb. Cited by 22