Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
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Design of documentation for handheld ergonomics
MT Graham, M Chignell, H Takeshita. Cited by 7
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Multi–objective Evolutionary Algorithms for the Risk–return Trade–off in Bank Loan Management
A Mukerjee, R Biswas, K Deb, AP Mathur. Cited by 92
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Combining Convergence and Diversity in Evolutionary Multiobjective Optimization
M Laumanns, L Thiele, K Deb, E Zitzler. Cited by 1509
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A fast and elitist multiobjective genetic algorithm: NSGA-II
K Deb, A Pratap, S Agarwal, T Meyarivan. Cited by 49996
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Automated optimization system for aircraft wing design
YS Ong, AJ Keane. Cited by 1
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Running performance metrics for evolutionary multi-objective optimizations
K Deb, SA Jain. Cited by 30
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Archiving with Guaranteed Convergence and Diversity in Multi-Objective Optimization
M Laumanns, L Thiele, E Zitzler, K Deb. Cited by 106
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Running Time Analysis of Multi-objective Evolutionary Algorithms on a Simple Discrete Optimization Problem
M Laumanns, L Thiele, E Zitzler, E Welzl, K Deb. Cited by 133
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Scalable test problems for evolutionary multi-objective optimization
K Deb, L Thiele, M Laumanns, E Zitzler. Cited by 301
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On the convergence and diversity-preservation properties of multi-objective evolutionary algorithms
M Laumanns, L Thiele, K Deb, E Zitzler. Cited by 44
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On self-adaptive features in real-parameter evolutionary algorithms
HG Beyer, K Deb. Cited by 265
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Self-Adaptive Genetic Algorithms with Simulated Binary Crossover
K Deb, HG Beyer. Cited by 438