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Volumn , Issue , 2010, Pages

Parameter control by the entire search history: Case study of history-driven evolutionary algorithm

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE MUTATION; ADAPTIVE PARAMETERS; BENCHMARK FUNCTIONS; ENTIRE SEARCHES; FITNESS LANDSCAPE; PARAMETER CONTROL; SEARCHING PERFORMANCE; TWO PARAMETER;

EID: 79959444283     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2010.5585945     Document Type: Conference Paper
Times cited : (7)

References (20)
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  • 2
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  • 4
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    • The interaction of mutation rate, selection and self-adaptation within a genetic algorithm
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    • Bäck, T.1
  • 7
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    • A study of reproduction in generational and steady state genetic algorithms
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    • Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization
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    • P.N. Suganthan, N. Hansen, J.J. Liang, K. Deb, Y.-P. Chen, A. Auger and S. Tiwari, "Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization," Technical Report, Nanyang Technological University, Singapore, KanGAL Report #2005005, IIT Kanpur, India, 2005.
    • (2005) KanGAL Report #2005005
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  • 10
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    • A sawtooth genetic algorithm comvining the effects of variable population size and reinitialization to enchance performance
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    • V.K. Koumousis, C.P. Katsaras, "A sawtooth genetic algorithm comvining the effects of variable population size and reinitialization to enchance performance," IEEE Trans. Evol. Comput., vol. 10, no.1, pp. 19-28, Feb. 2006.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.