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Volumn 3103, Issue , 2004, Pages 126-137

Let's get ready to rumble: Crossover versus mutation head to head

Author keywords

[No Author keywords available]

Indexed keywords

KNOWLEDGE MANAGEMENT; STOCHASTIC SYSTEMS;

EID: 34547288544     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-24855-2_12     Document Type: Article
Times cited : (29)

References (30)
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    • Mühlenbein, H.1
  • 4
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    • How genetic algorithms really work: Mutation and hillclimbing
    • Mühlenbein, H.: How genetic algorithms really work: Mutation and hillclimbing. Parallel Problem Solving from Nature II (1992) 15-26
    • (1992) Parallel Problem Solving from Nature , vol.2 , pp. 15-26
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    • Also IlliGAL Report No. 99002
    • Goldberg, D.E.: Using time efficiently: Genetic-evolutionary algorithms and the continuation problem. Proceedings of the Genetic and Evolutionary Computation Conference (1999) 212-219 (Also IlliGAL Report No. 99002).
    • (1999) Proceedings of the Genetic and Evolutionary Computation Conference , pp. 212-219
    • Goldberg, D.E.1
  • 10
    • 12144260364 scopus 로고    scopus 로고
    • Master's thesis, University of Illinois at Urbana-Champaign, General Engineering Department, Urbana, IL (Also IlliGAL Report No. 2001021)
    • Srivastava, R.: Time continuation in genetic algorithms. Master's thesis, University of Illinois at Urbana-Champaign, General Engineering Department, Urbana, IL (2002) (Also IlliGAL Report No. 2001021).
    • (2002) Time Continuation in Genetic Algorithms
    • Srivastava, R.1
  • 16
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    • Designing competent mutation operators via probabilistic model building of neighborhoods
    • (To appear) (Also IlliGAL Report No. 2004006).
    • Sastry, K., Goldberg, D.: Designing competent mutation operators via probabilistic model building of neighborhoods. Proceedings of the Genetic and Evolutionary Computation Conference (2004) (To appear) (Also IlliGAL Report No. 2004006).
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    • Sastry, K.1    Goldberg, D.2
  • 19
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    • Messy genetic algorithms: Motivation, analysis, and first results
    • Also IlliGAL Report No. 89003
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    • (1989) Complex Systems , vol.3 , pp. 493-530
    • Goldberg, D.E.1    Korb, B.2    Deb, K.3
  • 21
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    • Genetic algorithms, noise, and the sizing of populations
    • Also IlliGAL Report No. 91010
    • Goldberg, D.E., Deb, K., Clark, J.H.: Genetic algorithms, noise, and the sizing of populations. Complex Systems 6 (1992) 333-362 (Also IlliGAL Report No. 91010).
    • (1992) Complex Systems , vol.6 , pp. 333-362
    • Goldberg, D.E.1    Deb, K.2    Clark, J.H.3
  • 22
    • 0033185794 scopus 로고    scopus 로고
    • The gambler's ruin problem, genetic algorithms, and the sizing of populations
    • Also IlliGAL Report No. 96004
    • Harik, G., Cantú-Paz, E., Goldberg, D.E., Miller, B.L.: The gambler's ruin problem, genetic algorithms, and the sizing of populations. Evolutionary Computation 7 (1999) 231-253 (Also IlliGAL Report No. 96004).
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    • Harik, G.1    Cantú-Paz, E.2    Goldberg, D.E.3    Miller, B.L.4
  • 23
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    • Predictive models for the breeder genetic algorithm: I. continuous parameter optimization
    • Mühlenbein, H., Schlierkamp-Voosen, D.: Predictive models for the breeder genetic algorithm: I. continuous parameter optimization. Evolutionary Computation 1 (1993) 25-49
    • (1993) Evolutionary Computation , vol.1 , pp. 25-49
    • Mühlenbein, H.1    Schlierkamp-Voosen, D.2
  • 26
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    • Genetic algorithms, tournament selection, and the effects of noise
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  • 28
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    • PhD thesis, University of Illinois at Urbana-Champaign, General Engineering Department, Urbana, IL Also IlliGAL Report No. 97001
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  • 30
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    • Sastry, K.1


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