Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
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On the Desired Behaviors of Self-Adaptive Evolutionary Algorithms
HG Beyer, K Deb. Cited by 12
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Optimization of Composite Laminates with Cutouts Using Genetic Algorithm, Variable Metric and Complex Search Methods
K SIVAKUMAR, NGR Iyengar, K Deb. Cited by 19
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Multi-Objective Evolutionary Optimization: Past, Present, and Future
K Deb. Cited by 16
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Test-case generator for nonlinear continuous parameter optimization techniques
Z Michalewicz, K Deb, MH Schmidt, T Stidsen. Cited by 91
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Parallel Problem Solving from Nature PPSN VI
M Schoenauer, K Deb, G Rudolph, X Yao, É Lutton, JJ Merelo, H Schwefel. Cited by 561
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A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimization: NSGA-II
K Deb, S Agrawal, A Pratap, T Meyarivan. Cited by 5305
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Genetic Algorithms
K Deb. Cited by 5
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Comparison of multiobjective evolutionary algorithms: empirical results (Revised Version)
E Zitzler, K Deb, L Thiele. Cited by 30
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Fuzzy-genetic Algorithms and Time-optimal Obstacle-free Path Generation for Mobile Robots
DK Pratihar, K Deb, A Ghosh. Cited by 36
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Multi-objective Genetic Algorithms: Problem Difficulties and Construction of Test Problems
K Deb. Cited by 1457
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An introduction to genetic algorithms
K Deb. Cited by 1188
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Self-adaptation in real-parameter genetic algorithms with simulated binary crossover
K Deb, HG Beyer. Cited by 56