Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
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A Unified Framework for Symbiosis of Evolutionary Mechanisms with Application to Water Clusters Potential Model Design
MN Le, YS Ong, Y Jin, B Sendhoff. Cited by 25
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Multi-objective Optimisation, Sensitivity and Robustness Analysis in FBA Modelling
J Costanza, G Carapezza, C Angione, P Lió, G Nicosia. Cited by 11
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Preference-based evolutionary algorithm for many objective optimization problems
A Sinha, K Deb, P Korhonen, J Wallenius
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Investigation of Mutation Schemes in Real-Parameter Genetic Algorithms
D Deb, K Deb. Cited by 6
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Knowledge Discovery in Production simulation By Interleaving Multi-Objective Optimization and Data Mining
AHC Ng, C Dudas, L Pehrsson, K Deb. Cited by 8
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Advances in Evolutionary Multi-objective Optimization
K Deb. Cited by 48
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Design of particle-reinforced polyurethane mould materials for soft tooling process using evolutionary multi-objective optimization algorithms
AK Nandi, S Datta, K Deb. Cited by 5
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Multi-objective path planning using spline representation
F Ahmed, K Deb. Cited by 44
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Ockham’s Razor in memetic computing: Three stage optimal memetic exploration
G Iacca, F Neri, E Mininno, YS Ong, M Lim. Cited by 134
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Wrapper based feature selection in hyperspectral image data using self-adaptive differential evolution
A Datta, S Ghosh, AK Ghosh. Cited by 14
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Towards a top-down and bottom-up bidirectional approach to joint information extraction
X Yu, I King, MRT Lyu. Cited by 5
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An Adaptive Differential Evolution Algorithm With Novel Mutation and Crossover Strategies for Global Numerical Optimization
SM Islam, S Das, S Ghosh, S Roy, PN Suganthan. Cited by 615