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Volumn 6683 LNCS, Issue , 2011, Pages 552-566

The sandpile mutation operator for genetic algorithms

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE PARAMETERS; CONTEXT INDEPENDENT; CONTROL SCHEMES; DYNAMIC OPTIMIZATION; EXPERIMENTAL STUDIES; MUTATION OPERATORS; MUTATION RATES; PARAMETER SET; SELF-ORGANIZED CRITICALITY;

EID: 84868599139     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-25566-3_43     Document Type: Conference Paper
Times cited : (2)

References (16)
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    • Memory enhanced evolutionary algorithms for changing optimization problems
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    • Branke, J.: Memory enhanced evolutionary algorithms for changing optimization problems. In: Proc. of the 1999 Congress on Evolutionary Computation, pp. 1875-1882. IEEE Press, Los Alamitos (1999)
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    • Branke, J.1
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    • An investigation into the use of hypermutation as an adaptive operator in GAs having continuous, time-dependent nonstationary environments
    • Washington, USA
    • Cobb, H.G.: An investigation into the use of hypermutation as an adaptive operator in GAs having continuous, time-dependent nonstationary environments. Tech. Report AIC-90-001, Naval Research Laboratory, Washington, USA (1990)
    • (1990) Tech. Report AIC-90-001, Naval Research Laboratory
    • Cobb, H.G.1
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    • 0000893858 scopus 로고
    • Genetic algorithms for changing environments
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    • (1992) Parallel Problem Solving from Nature II , pp. 137-144
    • Grefenstette, J.J.1
  • 12
    • 0004002212 scopus 로고    scopus 로고
    • Applying self-organized criticality to evolutionary algorithms
    • Deb, K., Rudolph, G., Lutton, E., Merelo, J.J., Schoenauer, M., Schwefel, H.-P., Yao, X. (eds.) LNCS Springer, Heidelberg
    • Krink, T., Rickers, P., René, T.: Applying self-organized criticality to Evolutionary Algorithms. In: Deb, K., Rudolph, G., Lutton, E., Merelo, J.J., Schoenauer, M., Schwefel, H.-P., Yao, X. (eds.) PPSN 2000. LNCS, vol. 1917, pp. 375-384. Springer, Heidelberg (2000)
    • (2000) PPSN 2000 , vol.1917 , pp. 375-384
    • Krink, T.1    Rickers, P.2    René, T.3
  • 15
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    • Experimental study on PBIL algorithms for dynamic optimization problems
    • Yang, S., Yao, X.: Experimental study on PBIL algorithms for dynamic optimization problems. Soft Computing 9(11), 815-834 (2005)
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    • Yang, S.1    Yao, X.2
  • 16
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    • Genetic algorithms with memory- and elitism-based immigrants in dynamic environments
    • Yang, S.: Genetic Algorithms with Memory- and Elitism-Based Immigrants in Dynamic Environments. Evolutionary Computation 16(3), 385-416 (2008)
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    • Yang, S.1


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