Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
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Learning to Generate Preferences for Multiobjective Deep Learning
P Huang, Y Sun, G Wang, Y Wu, Q Wu, WW Song, YS Ong. Cited by 1
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IEEE Fellows - Class of 2026 [Society Briefs]
YS Ong
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Genetic programming with advanced diverse partner selection for dynamic scheduling
M Xu, Y Mei, F Zhang, YS Ong, M Zhang. Cited by 1
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Experimental Setup for the CEC 2026 Competition on Multimodal Multiobjective Optimization
A Ahrari, X Li, K Deb
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Scale-Net: A Hierarchical U-Net Framework for Cross-Scale Generalization in Multi-Task Vehicle Routing
S Liu, Z Cao, N Yin, YS Ong. Cited by 3
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Bioprocess optimisation via joint machine learning and metabolic modelling
G Zampieri, V Sandner, S Verma, J Kraemer, C Lennon, A Occhipinti, G McCreath, C Angione. Cited by 1
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A novel framework for generating tunable and scalable benchmark problems for multimodal multiobjective optimization
A Ahrari, X Li, K Deb
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Scalability via Sparsity in Stackelberg Security Games: An Augmented Decision Space Approach
A Żychowski, A Gupta, YS Ong, J Mańdziuk
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Stack-AttenLSTM: A surrogate deep learning model for sequential earthquake-flood structural response assessment of steel buildings
D Samadian, A Occhipinti, IB Muhit, NN Dawood. Cited by 2
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A 28-year evolution experiment on Burkholderia pseudomallei survival in nutrient-depleted sterile water
C Chomkatekaew, P Amornchai, S Langlah, J Thaipadungpanit, EM Batty, D Limmathurotsakul, K Chairat, K Sueksakrit, S Apinan, P Tipthara, J Tärning, V Rodríguez-Bouza, JA Lees, J Corander, N Day, NJ White, NR Thomson, V Wuthiekanun, P Julian, C Chewapreecha. Cited by 1
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Landscape-aware Automated Algorithm Design: An Efficient Framework for Real-world Optimization
H Yin, S Pan, Z Wei, JC Wong, YS Ong, AV Kononova, T Bäck, BV Stein
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Evolutionary Content Generation via Multimodal LLM-Based Fitness Evaluation
Y Hou, N Wang, Y Zhao-ping, DM Bossens, Y Wu, Q Zhang, YS Ong