Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
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Direct Zero-Norm Optimization for Feature Selection
K Huang, I King, MRT Lyu. Cited by 21
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Visualizing multi-dimensional pareto-optimal fronts with a 3D virtual reality system
E Madetoja, H Ruotsalainen, VM Monkkonen, JP Hämäläinen, K Deb. Cited by 24
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Arbitrary Norm Support Vector Machines
K Huang, D Zheng, I King, MRT Lyu. Cited by 16
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Optinformatics for schema analysis of binary genetic algorithms
MN Le, YS Ong, QH Nguyen. Cited by 18
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In search of no-loss strategies for the game of tic-tac-toe using a customized genetic algorithm
A Bhatt, P Varshney, K Deb. Cited by 12
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A domain-specific crossover and a helper objective for generating minimum weight compliant mechanisms
D Sharma, K Deb, NN Kishore. Cited by 12
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Applicability of genetic algorithms to reconstruction of projected data from ultrasonic tomography
SP Kodali, S Bandaru, K Deb, P Munshi, NN Kishore. Cited by 14
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A robust evolutionary framework for multi-objective optimization
K Deb. Cited by 40
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AMGA
SK Tiwari, PN Koch, GM Fadel, K Deb. Cited by 84
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A multi-objective evolutionary algorithm to exploit the similarities of resource allocation problems
D Datta, CM Fonseca, K Deb. Cited by 27
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Multiscale Approach to Explore the Potential Energy Surface of Water Clusters (H2O)nn ≤ 8
QC Nguyen, YS Ong, H Soh, J Kuo. Cited by 32
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Automatic configuration of metaheuristic algorithms for complex combinatorial optimization problems
Y Xu, MH Lim, YS Ong. Cited by 1