메뉴 건너뛰기




Volumn 9, Issue 1, 2009, Pages 39-48

Particle swarm optimization with adaptive population size and its application

Author keywords

Diversity function; Ladder particle swarm optimization (LPSO); Linearly decreasing inertia weight PSO (LDWPSO); Local convergence; Multimodal function optimization; Mutation particle swarm optimization (MPSO); Particle swarm optimization

Indexed keywords

BENCHMARKING; NETWORK PROTOCOLS; NEURAL NETWORKS; OPTIMIZATION; POPULATION STATISTICS; SENSOR NETWORKS;

EID: 53749099091     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2008.03.001     Document Type: Article
Times cited : (223)

References (20)
  • 1
    • 0029535737 scopus 로고    scopus 로고
    • J. Kennedy, R. Eberhart, Particle swarm optimisation, in: Proceedings of the IEEE International Conference on Neural Network, vol. 4, 1995, pp. 1942-1948.
    • J. Kennedy, R. Eberhart, Particle swarm optimisation, in: Proceedings of the IEEE International Conference on Neural Network, vol. 4, 1995, pp. 1942-1948.
  • 2
    • 33744730797 scopus 로고    scopus 로고
    • J.J. Liang, A.K. Qin, P.N. Suganthan, S. Baskar, Comprehensive learning particle swarm optimizer for global optimization of multimodal functions, IEEE Trans. Evol. Comput. 10 (June (3)) (2006) 281-295.
    • J.J. Liang, A.K. Qin, P.N. Suganthan, S. Baskar, Comprehensive learning particle swarm optimizer for global optimization of multimodal functions, IEEE Trans. Evol. Comput. 10 (June (3)) (2006) 281-295.
  • 3
    • 33646786078 scopus 로고    scopus 로고
    • H.-M. Feng, Particle swarm optimization learning fuzzy systems design, in: Proceedings of the ICITA 2005 3rd International Conference on Information Technology and Applications, vol. 1, July 4-7, 2005, pp. 363-366.
    • H.-M. Feng, Particle swarm optimization learning fuzzy systems design, in: Proceedings of the ICITA 2005 3rd International Conference on Information Technology and Applications, vol. 1, July 4-7, 2005, pp. 363-366.
  • 6
    • 33645158620 scopus 로고    scopus 로고
    • Multimodal function optimization based on particle swarm optimization
    • Seo J.-H., Im C.-H., Heo C.-G., Kim J.-K., Jung H.-K., and Lee C.-G. Multimodal function optimization based on particle swarm optimization. IEEE Trans. Magn. 42 4 (2006) 1095-1098
    • (2006) IEEE Trans. Magn. , vol.42 , Issue.4 , pp. 1095-1098
    • Seo, J.-H.1    Im, C.-H.2    Heo, C.-G.3    Kim, J.-K.4    Jung, H.-K.5    Lee, C.-G.6
  • 8
    • 2342464330 scopus 로고    scopus 로고
    • A novel algorithm for multimodal function optimization based on evolution strategy
    • Im C.-H., Kim H.-K., and Jung K.-K. A novel algorithm for multimodal function optimization based on evolution strategy. IEEE Trans. Magn. 40 2 (2004) 1224-1227
    • (2004) IEEE Trans. Magn. , vol.40 , Issue.2 , pp. 1224-1227
    • Im, C.-H.1    Kim, H.-K.2    Jung, K.-K.3
  • 10
    • 1542375796 scopus 로고    scopus 로고
    • Y.-L. Zheng, L.-H. Ma, L.-Y. Zhang, On the convergence analysis and parameter selection in particle swarm optimization, Proceedings of 2nd International Conference on Machine Learning and Cybernetics, vol. 10, Xi'an, October 2-5, 2003, pp. 1802-1807.
    • Y.-L. Zheng, L.-H. Ma, L.-Y. Zhang, On the convergence analysis and parameter selection in particle swarm optimization, Proceedings of 2nd International Conference on Machine Learning and Cybernetics, vol. 10, Xi'an, October 2-5, 2003, pp. 1802-1807.
  • 11
    • 3142768423 scopus 로고    scopus 로고
    • Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients
    • Ratnaweera A., Halgamuge S.K., and Watson H.C. Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients. IEEE Tran. Evol. Comput. 8 3 (2004) 240-255
    • (2004) IEEE Tran. Evol. Comput. , vol.8 , Issue.3 , pp. 240-255
    • Ratnaweera, A.1    Halgamuge, S.K.2    Watson, H.C.3
  • 14
    • 34547240100 scopus 로고    scopus 로고
    • Dynamic population size in PSO-based multiobjective optimization
    • Sheraton Vancouver Wall Centre Hotel, Vancouver, BC, Canada, July 16-21
    • Leong W.-F., and Yen G.G. Dynamic population size in PSO-based multiobjective optimization. IEEE Congress on Evolutionary Computation. Sheraton Vancouver Wall Centre Hotel, Vancouver, BC, Canada, July 16-21 (2006) 1718-1725
    • (2006) IEEE Congress on Evolutionary Computation , pp. 1718-1725
    • Leong, W.-F.1    Yen, G.G.2
  • 15
    • 31744436874 scopus 로고    scopus 로고
    • A saw-tooth genetic algorithm combining the effects of variable population size and reinitialization to enhance performance
    • Koumousis V.K., and Katsaras C.P. A saw-tooth genetic algorithm combining the effects of variable population size and reinitialization to enhance performance. IEEE Trans. Evol. Comput. 10 1 (2006) 19-28
    • (2006) IEEE Trans. Evol. Comput. , vol.10 , Issue.1 , pp. 19-28
    • Koumousis, V.K.1    Katsaras, C.P.2
  • 20
    • 0031127257 scopus 로고    scopus 로고
    • Efficient backpropagation learning using optimal learning rate and momentum
    • Yu X.H., and Chen G.A. Efficient backpropagation learning using optimal learning rate and momentum. Neural Netw. 10 3 (1997) 517-527
    • (1997) Neural Netw. , vol.10 , Issue.3 , pp. 517-527
    • Yu, X.H.1    Chen, G.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.