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Volumn , Issue , 2010, Pages 363-369

A hibernating multi-swarm optimization algorithm for dynamic environments

Author keywords

Environment; Multi swarm optimization; Particle swarm optimization

Indexed keywords

DYNAMIC ENVIRONMENTS; ENVIRONMENT; ENVIRONMENT CHANGE; GLOBAL OPTIMUM; MULTI-SWARM OPTIMIZATION; MULTI-SWARMS; PARTICLE SWARM; PARTICLE SWARM ALGORITHM; PSO ALGORITHMS; SEARCH SPACES;

EID: 79952760736     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NABIC.2010.5716372     Document Type: Conference Paper
Times cited : (56)

References (30)
  • 3
    • 77956989006 scopus 로고    scopus 로고
    • A note on the learning automata based algorithms for adaptive parameter selection in PSO
    • to be published
    • A. B. Hashemi and M. R. Meybodi, "A Note on the Learning Automata Based Algorithms for Adaptive Parameter Selection in PSO," Applied Soft Computing, to be published, 2010.
    • (2010) Applied Soft Computing
    • Hashemi, A.B.1    Meybodi, M.R.2
  • 4
    • 33747387640 scopus 로고    scopus 로고
    • Multiswarms, exclusion, and anti-convergence in dynamic environments
    • DOI 10.1109/TEVC.2005.857074
    • T. Blackwell and J. Branke, "Multiswarms, Exclusion, and Anti-Convergence in Dynamic Environments," IEEE Transactions on Evolutionary Computation, vol. 10, no. 4, pp. 459-472,2006. (Pubitemid 44251378)
    • (2006) IEEE Transactions on Evolutionary Computation , vol.10 , Issue.4 , pp. 459-472
    • Blackwell, T.1    Branke, J.2
  • 7
    • 0042654854 scopus 로고    scopus 로고
    • Adapting particle swarm optimization to dynamic environments
    • Las Vegas, NV, USA
    • A. Carlisle and G. Dozier, "Adapting Particle Swarm Optimization to Dynamic Environments," in International Conference on Artificial Intelligence, Las Vegas, NV, USA, 2000, pp. 429-434.
    • (2000) International Conference on Artificial Intelligence , pp. 429-434
    • Carlisle, A.1    Dozier, G.2
  • 8
    • 84901417404 scopus 로고    scopus 로고
    • Adaptive particle swarm optimization: Detection and response to dynamic systems
    • Honolulu, HI, USA
    • X. Hu and R. C. Eberhart, "Adaptive Particle Swarm Optimization: Detection and Response to Dynamic Systems," in IEEE Congress on Evolutionary Computation, Honolulu, HI, USA, 2002, pp. 1666-1670.
    • (2002) IEEE Congress on Evolutionary Computation , pp. 1666-1670
    • Hu, X.1    Eberhart, R.C.2
  • 13
    • 57649214120 scopus 로고    scopus 로고
    • Fast multi-swarm optimization for dynamic optimization problems
    • Jinan, Shandong, China
    • C. Li and S. Yang, "Fast Multi-Swarm Optimization for Dynamic Optimization Problems," in Fourth International Conference on Natural Computation, Jinan, Shandong, China, 2008, pp. 624-628.
    • (2008) Fourth International Conference on Natural Computation , pp. 624-628
    • Li, C.1    Yang, S.2
  • 14
    • 84901462973 scopus 로고    scopus 로고
    • Comparing particle swarms for tracking extrema in dynamic environments
    • Canberra, Australia
    • X. Li and K. H. Dam, "Comparing Particle Swarms for Tracking Extrema in Dynamic Environments," in IEEE Congress on Evolutionary Computation, Canberra, Australia, 2003,pp. 1772-1779.
    • (2003) IEEE Congress on Evolutionary Computation , pp. 1772-1779
    • Li, X.1    Dam, K.H.2
  • 15
    • 84901464055 scopus 로고    scopus 로고
    • Population structure and particle swarm performance
    • Honolulu, Hawaii, USA
    • J. Kennedy and R. Mendes, "Population Structure and Particle Swarm Performance," in Evolutionary Computation Congress, Honolulu, Hawaii, USA, 2002, pp. 1671-1676.
    • (2002) Evolutionary Computation Congress , pp. 1671-1676
    • Kennedy, J.1    Mendes, R.2
  • 17
    • 33846686437 scopus 로고    scopus 로고
    • A hierarchical particle swarm optimizer for noisy and dynamic environments
    • DOI 10.1007/s10710-006-9014-6, Special Issue: Evolutionary Computation in Dynamic and Uncertain Environments. Guest Editors: Shengxiang Yang, Yew-Soon Ong and Yaochu Jin
    • S. Janson and M. Middendorf, "A Hierarchical Particle Swarm Optimizer for Noisy and Dynamic Environments," Genetic Programming and Evolvable Machines, vol. 7, no. 4, pp. 329-354, 2006. (Pubitemid 46190776)
    • (2006) Genetic Programming and Evolvable Machines , vol.7 , Issue.4 , pp. 329-354
    • Janson, S.1    Middendorf, M.2
  • 18
    • 70350677836 scopus 로고    scopus 로고
    • A collaborative model for tracking optima in dynamic environments
    • Singapore
    • R. I. Lung and D. Dumitrescu, "A Collaborative Model for Tracking Optima in Dynamic Environments," in IEEE Congress on Evolutionary Computation, Singapore, 2007, pp. 564-567.
    • (2007) IEEE Congress on Evolutionary Computation , pp. 564-567
    • Lung, R.I.1    Dumitrescu, D.2
  • 19
    • 4344598796 scopus 로고    scopus 로고
    • Multi modal optimization using crowdingbased differential evolution
    • Portland, Oregon, USA
    • R. Thomsen, "Multi modal Optimization Using CrowdingBased Differential Evolution," in IEEE Congress on Evolutionary Computation, Portland, Oregon, USA, 2004, pp. 1382-1389.
    • (2004) IEEE Congress on Evolutionary Computation , pp. 1382-1389
    • Thomsen, R.1
  • 23
    • 44949127284 scopus 로고    scopus 로고
    • Multi-strategy ensemble particle swarm optimization for dynamic optimization
    • W. Du and B. Li, "Multi-Strategy Ensemble Particle Swarm Optimization for Dynamic Optimization," Information Sciences, vol. 178, no. 15, pp. 3096-3109, 2008.
    • (2008) Information Sciences , vol.178 , Issue.15 , pp. 3096-3109
    • Du, W.1    Li, B.2
  • 24
    • 70449890231 scopus 로고    scopus 로고
    • A clustering particle swarm optimizer for dynamic optimization
    • C. Li and S. Yang, "A Clustering Particle Swarm Optimizer for Dynamic Optimization," in IEEE Congress on Evolutionary Computation, 2009, pp. 439-446.
    • (2009) IEEE Congress on Evolutionary Computation , pp. 439-446
    • Li, C.1    Yang, S.2
  • 27
    • 84901453819 scopus 로고    scopus 로고
    • Memory enhanced evolutionary algorithms for changing optimization problems
    • Washington D.C., USA
    • J. Branke, "Memory Enhanced Evolutionary Algorithms for Changing Optimization Problems," in 1999 Congress on Evolutionary Computation, Washington D.C., USA, 1999, pp. 1875-1882.
    • (1999) 1999 Congress on Evolutionary Computation , pp. 1875-1882
    • Branke, J.1
  • 30
    • 0038281789 scopus 로고    scopus 로고
    • Ph.D. dissertation, Department of Computer Science, University of Pretoria, Pretoria, South Africa
    • F. van den Bergh, "An Analysis of Particle Swarm Optimizers," Ph.D. dissertation, Department of Computer Science, University of Pretoria, Pretoria, South Africa, 2002.
    • (2002) An Analysis of Particle Swarm Optimizers
    • Van Den Bergh, F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.