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Abstract: In this paper, we study the problem features that may cause a multi-objective genetic algorithm (GA) difficulty to converge 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 or deception) to be directly transferred to the... (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/article/deb98multiobjective.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/article/deb98multiobjective.html" }
Citations (may not include all citations):2138 Genetic algorithms for search (context) - Goldberg - 1989
275 Uniform crossover in genetic algorithms (context) - Syswerda - 1989
209 Genetic algorithms with sharing for multimodal function opti.. (context) - Goldberg, Richardson - 1987
191 An overview of evolutionary algorithms in multi-objective op.. - Fonseca, Fleming - 1995
177 Genetic algorithms (context) - Goldberg, Deb et al. - 1992
162 Genetic algorithms for multi-objective optimization: Formula.. - Fonseca, Fleming - 1993
142 Multiple objective optimization with vector evaluated geneti.. (context) - Schaffer - 1985
127 A niched Pareto genetic algorithm for multiobjective optimiz.. - Horn, Nafploitis et al. - 1994
114 The GENITOR algorithm and selection pressure: Why rank-based.. - Whitley - 1989
107 Multiple criteria optimization: Theory (context) - Steuer - 1986
104 An evolutionary algorithm for multiobjective optimization: T.. - Zitzler, Thiele
92 The CHC adaptive search algorithm: How to have safe search w.. (context) - Eshelman - 1990
67 Multiobjective optimization and multiple constraint handling.. - Fonseca, Fleming - 1998
62 Serial and parallel genetic algorithms as function optimizer.. - Gordon, Whitley - 1993
51 Fundamental principles of deception in genetic search - Whitley - 1990
48 The gene expression messy genetic algorithm - Kargupta - 1996
38 Engineering optimization methods and applications (context) - Reklaitis, Ravindran et al. - 1983
36 Multiobjective optimization using evolutionary algorithms---.. - Zitzler, Thiele
33 Selective breeding in a multi-objective genetic algorithm (context) - Parks, Miller - 1998
33 Multi-Objective function optimization using non-dominated so.. (context) - Srinivas, Deb - 1994
31 Multicriterion decision making (context) - Horn - 1997
30 Some experiments in machine learning using vector evaluated .. (context) - Schaffer - 1984
26 A markov chain analysis on a genetic algorithm (context) - Suzuki - 1993
18 Real-coded genetic algorithms with simulated binary crossove.. (context) - Deb, Kumar - 1995
18 An efficient constraint handling method for genetic algorith.. - Deb - 1989
17 A spatial predator-prey approach to multiobjective optimizat.. - Laumanns, Rudolph et al. - 1998
16 Evolutionary search for minimal elements in partially ordere.. - Rudolph - 1998
14 Multi-Modal deceptive functions (context) - Deb, Horn et al. - 1993
14 Multiobjective dynamic optimization of an industrial Nylon 6.. (context) - Mitra, Deb et al. - 1998
11 Use of genetic algorithms in multicriteria optimization to s.. (context) - Cunha, Oliveira et al. - 1997
10 A decoder-based evolutionary algorithm for constrained param.. - Koziel, Michalewicz - 1998
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
3 and genetic algorithms (context) - Systems, Goldberg et al. - 1992
2 A variant of evolution strategies for vector optimization (context) - Kurusawe - 1990
2 Learning gene linkage to efficiently solve problems of bound.. (context) - the, Conference et al. - 1997
2 Optimization of single screw extrusion: Theoretical and expe.. (context) - Covas, Cunha et al. - 1995
1 Messy genetic algorithms: Motivation (context) - Solving, -- et al. - 1989
1 Genetic algorithm design of Pareto-optimal broad band microw.. (context) - Engineering, Institute et al. - 1996
1 Multiobjective optimization using nondominated sorting annea.. (context) - Leung, Zhu et al. - 1998
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