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Volumn , Issue , 2011, Pages 257-262

Comparison of different mutation strategies applied to artificial bee colony algorithm

Author keywords

Artificial bee colony; Differential evolution; Large scale optimization problems; Swarm intelligence

Indexed keywords

ARTIFICIAL BEE COLONIES; BENCHMARK FUNCTIONS; DIFFERENTIAL EVOLUTION; DIFFERENTIAL EVOLUTION ALGORITHMS; LARGE-SCALE OPTIMIZATION; MUTATION STRATEGY; ORIGINAL ALGORITHMS; SWARM INTELLIGENCE; SWARM INTELLIGENCE OPTIMIZATION ALGORITHM;

EID: 80053143179     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (19)
  • 2
    • 0142000477 scopus 로고    scopus 로고
    • Differential Evolution - A Simple and Efficient Heuristic for Global Optimization over Continuous Spaces
    • R. Storn, K. Price, Differential evolution - a simple and efficient heuristic for global optimization over continuous spaces, Journal of Global Optimization, Vol. 11, Issue 4 ,1997, pp. 341-359. (Pubitemid 127502202)
    • (1997) Journal of Global Optimization , vol.11 , Issue.4 , pp. 341-359
    • Storn, R.1    Price, K.2
  • 3
    • 35148821762 scopus 로고    scopus 로고
    • A powerful and efficient algorithm for numerical function optimization: Artificial bee colony (ABC) algorithm
    • DOI 10.1007/s10898-007-9149-x
    • Karaboga D, Basturk B, A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm. J. of Global Optimization, Volume 39, No. 0925-5001, 2007, pp. 459-471. (Pubitemid 47551831)
    • (2007) Journal of Global Optimization , vol.39 , Issue.3 , pp. 459-471
    • Karaboga, D.1    Basturk, B.2
  • 4
    • 34548515359 scopus 로고    scopus 로고
    • Collective decision making in honey-bee foraging dynamics
    • Tereshko, V., Loengarov, A.: Collective Decision-Making in Honey Bee Foraging Dynamics. Computing and Information Systems, Vol.9 No. 3, 2005, pp. 1-7 (Pubitemid 41670281)
    • (2005) Computing and Information Systems , vol.9 , Issue.3 , pp. 1-7
    • Tereshko, V.1    Loengarov, A.2
  • 5
    • 79952329481 scopus 로고    scopus 로고
    • Optimal allocation of FACTS devices in deregulated electricity market using bees algorithm
    • ISSN: 1790-5060
    • R. M. Idris, A. Khairuddin, M. W. Mustafa, Optimal Allocation of FACTS Devices in Deregulated Electricity Market Using Bees Algorithm, WSEAS Transactions On Power Systems, Vol. 5, ISSN: 1790-5060, 2010, pp. 108-119
    • (2010) WSEAS Transactions on Power Systems , vol.5 , pp. 108-119
    • Idris, R.M.1    Khairuddin, A.2    Mustafa, M.W.3
  • 6
    • 79952329481 scopus 로고    scopus 로고
    • Optimal allocation of facts devices in deregulated electricity market using bees algorithm
    • R. Mohamad Idris, A. Khairuddin and M. W. Mustafa, Optimal Allocation of FACTS Devices in Deregulated Electricity Market Using Bees Algorithm, WSEAS Transactions on Power Systems, Vol. 5, Issue 2, 2010, pp. 108-119.
    • (2010) WSEAS Transactions on Power Systems , vol.5 , Issue.2 , pp. 108-119
    • Mohamad Idris, R.1    Khairuddin, A.2    Mustafa, M.W.3
  • 8
    • 80053150034 scopus 로고    scopus 로고
    • Cooperative bees swarm for solving the maximum weighted satisfiability problem
    • DOI 10.1007/11494669-39
    • Drias, H., Sadeg, S., Yahi, S., Cooperative bees swarm for solving the maximum weighted satisfiability problem, Computational Intelligence and Bioinspired Systems. Vol. 3512/2005, DOI 10.1007/11494669-39, 2005, pp.417-448.
    • (2005) Computational Intelligence and Bioinspired Systems , vol.3512 , Issue.2005 , pp. 417-448
    • Drias, H.1    Sadeg, S.2    Yahi, S.3
  • 11
    • 77956061119 scopus 로고    scopus 로고
    • Artificial bee colony (ABC) optimized edge potential function (EPF) approach to target recognition for low-altitude aircraft
    • 0167-86552010
    • Chunfan Xu, Haibin Duan, Artificial bee colony (ABC) optimized edge potential function (EPF) approach to target recognition for low-altitude aircraft, Pattern Recognition Letters, Vol. 31, No. 0167-86552010, pp. 1759 - 1772
    • Pattern Recognition Letters , vol.31 , pp. 1759-1772
    • Xu, C.1    Duan, H.2
  • 12
    • 79959389554 scopus 로고    scopus 로고
    • Elitist artificial bee colony for constrained real-parameter optimization
    • No. 978-1-4244-6909-3, DOI10.1109/CEC.2010.5586280
    • Efrén Mezura-Montes and Ramiro Ernesto Velez-Koeppel, Elitist Artificial Bee Colony for Constrained Real-Parameter Optimization, Evolutionary Computation (CEC),No. 978-1-4244-6909-3, DOI10.1109/CEC.2010.5586280, 2010, pp. 1-8
    • (2010) Evolutionary Computation (CEC) , pp. 1-8
    • Efrén, M.-M.1    Ramiro Ernesto, V.-K.2
  • 13
    • 59249107485 scopus 로고    scopus 로고
    • Solving large scale optimization problems by opposition-based differential evolution (ODE), WSEAS
    • Shahryar Rahnamayan, G. Gary Wang, Solving Large Scale Optimization Problems by Opposition-Based Differential Evolution (ODE), WSEAS Transactions On Computers, Vol. 7, Issue. 10, 2008, pp. 1792-1804
    • (2008) Transactions on Computers , vol.7 , Issue.10 , pp. 1792-1804
    • Rahnamayan, S.1    Wang, G.G.2
  • 14
    • 70649097284 scopus 로고    scopus 로고
    • Hybridizing particle swarm optimization with differential evolution for constrained numerical and engineering optimization
    • H Liu, Cai Z, Wang Y, Hybridizing particle swarm optimization with differential evolution for constrained numerical and engineering optimization, Applied Soft Computing, Vol. 10, Issue 2, pp. 629-640, 2009.
    • (2009) Applied Soft Computing , vol.10 , Issue.2 , pp. 629-640
    • Liu, H.1    Cai, Z.2    Wang, Y.3
  • 16
    • 0037475094 scopus 로고    scopus 로고
    • The particle swarm optimization algorithm: Convergence analysis and parameter selection
    • DOI: 10.1016/S0020-0190(02)00447-7
    • I. C. Trelea, The particle swarm optimization algorithm: convergence analysis and parameter selection, Information Processing Letters, Vol.85, No. 6, DOI: 10.1016/S0020-0190(02)00447-7, 2003, pp. 317- 325.
    • (2003) Information Processing Letters , vol.85 , Issue.6 , pp. 317-325
    • Trelea, I.C.1
  • 19
    • 84865224703 scopus 로고    scopus 로고
    • Artificial bee colony algorithm for large-scale problems and engineering design optimization
    • DOI: 10.1007/s10845-010-0393-4, No. 09565515
    • Akay B, Karaboga D, Artificial bee colony algorithm for large-scale problems and engineering design optimization, Journal of Intelligent Manufacturing, DOI: 10.1007/s10845-010-0393-4, Vol. 19, No. 09565515, 2010.
    • (2010) Journal of Intelligent Manufacturing , vol.19
    • Akay, B.1    Karaboga, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.