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Volumn 1, Issue , 2012, Pages 150-155

Increasing efficiency of evolutionary algorithms by choosing between auxiliary fitness functions with reinforcement learning

Author keywords

[No Author keywords available]

Indexed keywords

FITNESS FUNCTIONS; MODEL PROBLEMS; OPTIMIZATION PROBLEMS;

EID: 84873587026     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLA.2012.32     Document Type: Conference Paper
Times cited : (31)

References (14)
  • 3
    • 20944439075 scopus 로고    scopus 로고
    • Helper-objectives: Using multi-objective evolutionaryalgorithms for single-objective optimisation: Evolutionary computationcombinatorial optimization
    • M. T. Jensen, "Helper-objectives: Using multi-objective evolutionaryalgorithms for single-objective optimisation: Evolutionary computationcombinatorial optimization," Journal of Mathematical Modelling andAlgorithms, vol. 3, no. 4, pp. 323-347, 2004.
    • (2004) Journal of Mathematical Modelling AndAlgorithms , vol.3 , Issue.4 , pp. 323-347
    • Jensen, M.T.1
  • 7
    • 67649964731 scopus 로고    scopus 로고
    • Reinforcement learning: A tutorial survey and recentadvances
    • A. Gosavi, "Reinforcement learning: A tutorial survey and recentadvances," INFORMS Journal on Computing, vol. 21, no. 2, pp. 178-192, 2009.
    • (2009) INFORMS Journal on Computing , vol.21 , Issue.2 , pp. 178-192
    • Gosavi, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.