Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
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A Hierarchical Approach to Study the Thermal Behavior of Protonated Water Clusters H+(H2O)n
QC Nguyen, YS Ong, J Kuo. Cited by 59
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Optimization in microbial pest control: An integrated approach
S Ghosh, DK Bhattacharya. Cited by 30
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An interactive evolutionary multi-objective optimization and decision making procedure
S Chaudhuri, K Deb. Cited by 93
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Reliability-Based Optimization Using Evolutionary Algorithms
K Deb, S Gupta, D Daum, J Branke, AK Mall, D Padmanabhan. Cited by 245
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Non-monotonic feature selection
Z Xu, R Jin, J Ye, MRT Lyu, I King. Cited by 67
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A Probabilistic Memetic Framework
QH Nguyen, YS Ong, MH Lim. Cited by 224
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Optimization of the sizing of a solar thermal electricity plant: Mathematical programming versus genetic algorithms
JM Cabello, JMC López, M Luque, F Ruiz, K Deb, R Tewari. Cited by 9
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Comparing GA with MART to tomographic reconstruction of ultrasound images with and without noisy input data
SP Kodali, K Deb, P Munshi, NN Kishore. Cited by 11
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Constrained many-objective optimization: A way forward
DK Saxena, T Ray, K Deb, A Tiwari. Cited by 34
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Constructing test problems for bilevel evolutionary multi-objective optimization
K Deb, A Sinha. Cited by 42
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Performance assessment of the hybrid Archive-based Micro Genetic Algorithm (AMGA) on the CEC09 test problems
S Tiwari, GM Fadel, PN Koch, K Deb. Cited by 56
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Local search based evolutionary multi-objective optimization algorithm for constrained and unconstrained problems
K Sindhya, A Sinha, K Deb, K Miettinen. Cited by 92