Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
-
Hot off the press: 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 2
-
Bayesian Inverse Transfer in Evolutionary Multiobjective Optimization
J Liu, A Gupta, YS Ong. Cited by 5
-
Machine learning assisted evolutionary multi-and many-objective optimization
DK Saxena, S Mittal, K Deb, ED Goodman. Cited by 6
-
Genome‐Scale Metabolic Modeling of Halomonas elongata 153B Explains Polyhydroxyalkanoate and Ectoine Biosynthesis in Hypersaline Environments
BM Enuh, P Aytar Çelik, C Angione. Cited by 9
-
Bridging the gap between theory and practice: Benchmarking transfer evolutionary optimization
Y Hou, W Ma, A Gupta, KK Bali, H Ge, Q Zhang, CAC Coello, YS Ong. Cited by 3
-
Bayesian forward-inverse transfer for multiobjective optimization
T Wei, J Liu, A Gupta, PS Tan, YS Ong. Cited by 3
-
A Novel Pareto-optimal Ranking Method for Comparing Multi-objective Optimization Algorithms
A Ibrahim, AA Bidgoli, S Rahnamayan, K Deb. Cited by 3
-
Elitist-opposition-based artificial electric field algorithm for higher-order neural network optimization and financial time series forecasting
SC Nayak, S Dehuri, SB Cho. Cited by 4
-
Chance-constrained multiple-choice knapsack problem: Model, algorithms, and applications
X Li, S Liu, J Wang, X Chen, YS Ong, K Tang. Cited by 6
-
Prompt evolutionary design optimization with generative shape and vision-language models
M Wong, T Rios, S Menzel, YS Ong. Cited by 8
-
Attacker-defender strategy optimization using multi-objective competitive co-evolution
R Guha, R Mckendrick, B Feest, K Deb. Cited by 5
-
An updated performance metric for preference-based evolutionary multi-objective optimization algorithms
D Yadav, P Ramu, K Deb. Cited by 6