Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
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Optimal Operating Conditions for Overhead Crane Maneuvering Using Multi-objective Evolutionary Algorithms
K Deb, NK Gupta. Cited by 5
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Large-Scale Scheduling of Casting Sequences Using a Customized Genetic Algorithm
K Deb, AR Reddy. Cited by 7
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Multi-Class Protein Fold Recognition Using Multi-Objective Evolutionary Algorithms
SYM Shi, PN Suganthan, K Deb. Cited by 13
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Efficiently Solving: A Large-Scale Integer Linear Program Using a Customized Genetic Algorithm
K Deb, K Pal. Cited by 10
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Genetic and Evolutionary Computation - GECCO 2004, Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004, Proceedings, Part I
K Deb, R Poli, W Banzhaf, HG Beyer, E Burke, P Darwen, D Dasgupta, D Floreano, J Foster, M Harman, OE Holland, P Lanzi, LC Spector, AGB Tettamanzi, D Thierens, A Tyrrell. Cited by 5
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Introduction to Genetic Algorithms for Engineering Optimization
K Deb. Cited by 22
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The When, Where and Why of Mobile Access to Medical Evidence: A Socio-Technical Analysis of a Field Trial
DM Lottridge, M Chignell, R Danicic-Mizdrak, SG Straus
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Finding Knees in Multi-objective Optimization
J Branke, K Deb, H Dierolf, M Osswald. Cited by 571
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Learning large margin classifiers locally and globally
K Huang, H Yang, I King, MRT Lyu. Cited by 68
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Reliable classification of two-class cancer data using evolutionary algorithms
K Deb, AR Reddy. Cited by 133
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Unveiling innovative design principles by means of multiple conflicting objectives
K Deb. Cited by 100
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Multi-Speed Gearbox Design Using Multi-Objective Evolutionary Algorithms
K Deb, SK Jain. Cited by 155