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Abstract: In this paper, we study the problem features that may cause a multi-objective genetic algorithm (GA) difficulty in converging to the true Pareto-optimal front. Identification of such features helps us develop difficult test problems for multi-objective optimization. Multi-objective test problems are constructed from single-objective optimization problems, thereby allowing known difficult features of single-objective problems (such as multi-modality, isolation, or deception) to be directly... (Update)
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BibTeX entry: (Update)
Kalyanmoy Deb. Multi-Objective Genetic Algorithms: Problem Difficulties and Construction of Test Problems. Technical Report CI-49/98, Dortmund: Department of Computer Science/LS11, University of Dortmund, Germany, 1998. http://citeseer.ist.psu.edu/deb99multiobjective.html More
@article{ deb99multiobjective,
author = "Kalyanmoy Deb",
title = "Multi-objective Genetic Algorithms: Problem Difficulties and Construction of Test Problems",
journal = "Evolutionary Computation",
volume = "7",
number = "3",
pages = "205-230",
year = "1999",
url = "citeseer.ist.psu.edu/deb99multiobjective.html" }
Citations (may not include all citations):2138 Genetic algorithms for search (context) - Goldberg - 1989
191 An overview of evolutionary algorithms in multiobjective opt.. - Fonseca, Fleming - 1995 DBLP
162 Genetic algorithms for multi-objective optimization: Formula.. - Fonseca, Fleming - 1993
129 Messy genetic algorithms: Motivation (context) - Goldberg, Korb et al. - 1989
107 Multiple criteria optimization: Theory (context) - Steuer - 1986
61 Deception considered harmful - Grefenstette - 1993 DBLP
36 Multiobjective optimization using evolutionary algorithms---.. - Zitzler, Thiele - 1998
36 the performance assessment and comparison of stochastic mult.. (context) - Fonseca, Fleming - 1996
33 Multi-Objective function optimization using non-dominated so.. (context) - Srinivas, Deb - 1995
30 Some experiments in machine learning using vector evaluated .. (context) - Schaffer - 1984
26 A markov chain analysis on a genetic algorithm (context) - Suzuki - 1993 ACM DBLP
21 Optimization for engineering design: Algorithms and examples (context) - Deb - 1995
18 Real-coded genetic algorithms with simulated binary crossove.. (context) - Deb, Kumar - 1995
17 A spatial predator-prey approach to multi-objective optimiza.. - Laumanns, Rudolph et al. - 1998 DBLP
17 Genetic algorithm design of Paretooptimal broad band microwa.. (context) - Weile, Michielssen et al. - 1996
16 Multiobjective evolutionary algorithm research: A history an.. (context) - Van Veldhuizen, Lamont - 1998
14 Multi-Modal deceptive functions (context) - Deb, Horn et al. - 1993
11 Use of genetic algorithms in multicriteria optimization to s.. (context) - Cunha, Oliveira et al. - 1997 DBLP
10 A decoder-based evolutionary algorithm for constrained param.. - Koziel, Michalewicz - 1998 ACM DBLP
6 Genetic-algorithm-based design of groundwater quality monito.. (context) - Eheart, Cieniawski et al. - 1993
3 Sufficient conditions for arbitrary binary functions (context) - Deb, Goldberg - 1994
2 A variant of evolution strategies for vector optimization (context) - Kurusawe - 1990 ACM DBLP
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