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Volumn 3242, Issue , 2004, Pages 952-961

An approach to evolutionary robotics using a genetic algorithm with a variable mutation rate strategy

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; EVOLUTIONARY ALGORITHMS; GENETIC ALGORITHMS; ROBOTICS;

EID: 34547299369     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30217-9_96     Document Type: Article
Times cited : (8)

References (27)
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  • 7
    • 84944324628 scopus 로고    scopus 로고
    • On the Utility of Redundant Encodings in Mutation-based Evolutionary Search
    • Merelo, J.J., Admidis, P., Beyer, H.-G., Fernandes-Villacanas, J.-L., Schwefel, H.-P. (eds.): Proceedings of Parallel Problem Solving from Nature - PPSN VII, Seventh International Conference
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    • (2002) LNCS 2439 , pp. 88-98
    • Knowles, J.D.1    Watson, R.A.2
  • 8
    • 0344946467 scopus 로고    scopus 로고
    • Redundant Representations in Evolutionary Computation
    • Rothlauf, F., Goldberg, D.: Redundant Representations in Evolutionary Computation. Evolutionary Computation, 11(4) (2003) 381-415
    • (2003) Evolutionary Computation , vol.11 , Issue.4 , pp. 381-415
    • Rothlauf, F.1    Goldberg, D.2
  • 11
    • 0031105866 scopus 로고    scopus 로고
    • Generic Properties of Combinatory Maps Neutral Networks of RNA Secondary Structures
    • Reidys, C., Stadler, P., Schuster, P.: Generic Properties of Combinatory Maps Neutral Networks of RNA Secondary Structures. Bulletin of Mathematical Biology, 59 (1997) 339-397
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  • 14
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    • Statistical Dynamics of the Royal Road Genetic Algorithm
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    • (1999) Theoretical Computer Science , vol.229 , Issue.1 , pp. 41-102
    • Nimwegen, E.1    Crutchfield, J.2    Mitchell, M.3
  • 17
    • 0003409293 scopus 로고    scopus 로고
    • Tangled Webs: Evolutionary Dynamics on Fitness Landscapes with Neutrality
    • Sussex University, UK
    • Barnett, L.: Tangled Webs: Evolutionary Dynamics on Fitness Landscapes with Neutrality. MSc. dissertation, School of Cognitive and Computing Sciences, Sussex University, UK (1997)
    • (1997) MSc. Dissertation, School of Cognitive and Computing Sciences
    • Barnett, L.1
  • 18
    • 0004312095 scopus 로고    scopus 로고
    • Optimizing Epochal Evolutionary Search: Population-size Dependent Theory
    • Santa Fe Institute
    • Nimwegen, E., Ctrutchfield, J.: Optimizing Epochal Evolutionary Search: Population-size Dependent Theory. SFI Working Paper 9810-090, Santa Fe Institute (1998)
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    • Tuning Genetic Algorithms for Problems Including Neutral Networks -The Simplest Case: The Balance Beam Function
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    • (2003) Proceedings of the 7th Joint Conference on Information Sciences , pp. 1657-1660
    • Katada, Y.1    Ohkura, K.2    Ueda, K.3
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.