Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
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Distributed Computing of Pareto-Optimal Solutions with Evolutionary Algorithms
K Deb, P Zope, A Jain. Cited by 92
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Multi-objective Evolutionary Algorithms: Introducing Bias Among Pareto-optimal Solutions
K Deb. Cited by 136
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Performance Scaling of Multi-objective Evolutionary Algorithms
VR Khare, X Yao, K Deb. Cited by 455
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Probabilistic cooperative-competitive hierarchical modeling as a genetic operator in global optimization
KS Leung, TL Wong, I King. Cited by 1
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A Computationally Efficient Evolutionary Algorithm for Real-Parameter Optimization
K Deb, AP Anand, D Joshi. Cited by 619
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An application of genetic algorithms to evolve Hopfield type optimum network architectures for object extraction
S De, S Ghosh, S Pal. Cited by 4
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Coordination of multiple behavior modules evolved on CAM-Brain
KJ Kim, SB Cho
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Evolving multiple sensory-motor controllers based on cellular neural network
SB Cho. Cited by 3
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Observational emergence of a fuzzy controller evolved by genetic algorithm
S Lee, SB Cho. Cited by 7
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A 3D modeling system for creative design
H Nishino, H Takagi, SB Cho, K Utsumiya. Cited by 43
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Accelerating evolution by direct manipulation for interactive fashion design
J Lee, HS Kim, SB Cho. Cited by 14
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Exploiting coalition in co-evolutionary learning
YG Seo, SB Cho, X Yao. Cited by 12