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Volumn 23, Issue 2, 2012, Pages 265-275

Improved artificial bee colony algorithm with mutual learning

Author keywords

Artificial bee colony (ABC) algorithm; Mutual learning; Numerical function optimization; Swarm intelligence

Indexed keywords

ABC ALGORITHMS; ARTIFICIAL BEE COLONIES; ARTIFICIAL BEE COLONY ALGORITHMS; BENCHMARK FUNCTIONS; FOOD SOURCES; MUTUAL LEARNING; NUMERICAL FUNCTION OPTIMIZATION; OPTIMIZATION ALGORITHMS; SWARM INTELLIGENCE;

EID: 84863707883     PISSN: 10044132     EISSN: None     Source Type: Journal    
DOI: 10.1109/JSEE.2012.00034     Document Type: Article
Times cited : (38)

References (25)
  • 3
    • 35148821762 scopus 로고    scopus 로고
    • A powerful and efficient algorithm for numerical function optimization: Artificial bee colony (ABC) algorithm
    • D. Karaboga, B. Basturk. A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm. Journal of Global Optimization, 2007, 39(3):459-471.
    • (2007) Journal of Global Optimization , vol.39 , Issue.3 , pp. 459-471
    • Karaboga, D.1    Basturk, B.2
  • 5
    • 67349273050 scopus 로고    scopus 로고
    • A comparative study of artificial bee colony algorithm
    • D. Karaboga, B. Akay. A comparative study of artificial bee colony algorithm. Applied Mathematics and Computation, 2009, 214(1):108-132.
    • (2009) Applied Mathematics and Computation , vol.214 , Issue.1 , pp. 108-132
    • Karaboga, D.1    Akay, B.2
  • 6
    • 84857832525 scopus 로고    scopus 로고
    • A modified artificial bee colony algorithm for real-parameter optimization
    • B. Akay, D. Karaboga. A modified artificial bee colony algorithm for real-parameter optimization. Information Sciences, 2012, 192(6):120-142.
    • (2012) Information Sciences , vol.192 , Issue.6 , pp. 120-142
    • Akay, B.1    Karaboga, D.2
  • 14
    • 78649623407 scopus 로고    scopus 로고
    • An artificial bee colony with random key for resource-constrained project scheduling
    • Y. J. Shi, F. Z. Qu, W. Chen et al. An artificial bee colony with random key for resource-constrained project scheduling. Life System Modeling and Intelligent Computing, 2010, 6329:148-157.
    • (2010) Life System Modeling and Intelligent Computing , vol.6329 , pp. 148-157
    • Shi, Y.J.1    Qu, F.Z.2    Chen, W.3
  • 15
    • 58549117667 scopus 로고    scopus 로고
    • An artificial bee colony algorithm for the leafconstrained minimum spanning tree problem
    • A. Singh. An artificial bee colony algorithm for the leafconstrained minimum spanning tree problem. Applied Soft Computing, 2009, 9(2):625-631.
    • (2009) Applied Soft Computing , vol.9 , Issue.2 , pp. 625-631
    • Singh, A.1
  • 16
    • 64149103429 scopus 로고    scopus 로고
    • A new design method based on artificial bee colony algorithm for digital IIR filters
    • N. Karaboga. A new design method based on artificial bee colony algorithm for digital IIR filters. Journal of the Franklin Institute, 2009, 346(4):328-348.
    • (2009) Journal of the Franklin Institute , vol.346 , Issue.4 , pp. 328-348
    • Karaboga, N.1
  • 18
    • 37249054534 scopus 로고    scopus 로고
    • Artificial bee colony (ABC) optimization algorithm for training feed-forward neural networks
    • D. Karaboga, B. Akay, C. Ozturk. Artificial bee colony (ABC) optimization algorithm for training feed-forward neural networks. Modeling Decisions for Artificial Intelligence, 2007, 4617:318-329.
    • (2007) Modeling Decisions for Artificial Intelligence , vol.4617 , pp. 318-329
    • Karaboga, D.1    Akay, B.2    Ozturk, C.3
  • 19
    • 77956002248 scopus 로고    scopus 로고
    • Fuzzy clustering with artificial bee colony algorithm
    • D. Karaboga, C. Ozturk. Fuzzy clustering with artificial bee colony algorithm. Scientific Research and Essays, 2010, 5(14):1899-1902.
    • (2010) Scientific Research and Essays , vol.5 , Issue.14 , pp. 1899-1902
    • Karaboga, D.1    Ozturk, C.2
  • 22
  • 25
    • 79959466769 scopus 로고    scopus 로고
    • A discrete artificial bee colony algorithm for the permutation flow shop scheduling problem with total flowtime criterion
    • M. F. Tasgetiren, Q. K. Pan, P. N. Suganthan, et al. A discrete artificial bee colony algorithm for the permutation flow shop scheduling problem with total flowtime criterion. Proc. of the IEEE Congress on Evolutionary Computation, 2010:1-8.
    • (2010) Proc. of the IEEE Congress on Evolutionary Computation , pp. 1-8
    • Tasgetiren, M.F.1    Pan, Q.K.2    Suganthan, P.N.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.