Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
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A Gradient Projection based Hybrid Constrained Optimization Methodology using Genetic Algorithms
A Saha, R Datta, K Deb. Cited by 1
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Evolutionary Multiobjective Optimization: Principles, Procedures, and Practices
K Deb, S Paruya, S Kar, S Roy. Cited by 1
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Bayesian Reliability Analysis under Incomplete Information Using Evolutionary Algorithms
RK Srivastava, K Deb. Cited by 4
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Recent Developments in Evolutionary Multi-Objective Optimization
K Deb. Cited by 10
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A Bi-criterion Approach to Multimodal Optimization: Self-adaptive Approach
A Saha, K Deb. Cited by 13
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A Genetic Algorithm Based Augmented Lagrangian Method for Computationally Fast Constrained Optimization
S Srivastava, K Deb. Cited by 10
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Comparison of NSGA-II and SPEA2 on the Multiobjective Environmental/Economic Dispatch Problem
RTFA King, K Deb, HCS Rughooputh. Cited by 24
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An Interactive Evolutionary Multi-objective Optimization Method Based on Polyhedral Cones
A Sinha, P Korhonen, J Wallenius, K Deb. Cited by 33
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New methods for clinical decision support in hospitals
M Chignell, Y Yesha, J Lo. Cited by 5
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Generalizing Surrogate-Assisted Evolutionary Computation
D Lim, Y Jin, YS Ong, B Sendhoff. Cited by 491
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Finding multiple first order saddle points using a valley adaptive clearing genetic algorithm
MMH Ellabaan, YS Ong, MH Lim, J Kuo. Cited by 9
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Nadir Point Estimation Using Evolutionary Approaches: Better Accuracy and Computational Speed Through Focused Search
K Deb, K Miettinen. Cited by 35