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Volumn 5, Issue , 2010, Pages 2624-2627

Glowworm swarm optimization algorithm based on multi-population

Author keywords

Glowworm swarm optimization; Intelligent algorithm; MPGSO; Multimodal function optimization

Indexed keywords


EID: 78149341663     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNC.2010.5583035     Document Type: Conference Paper
Times cited : (6)

References (9)
  • 3
    • 33745766087 scopus 로고    scopus 로고
    • Detection of multiple source locations using a glowworm metaphor with applications to collective robotics
    • Krishnanand, K.N. and Ghose, D. 'Detection of multiple source locations using a glowworm metaphor with applications to collective robotics', in Proceedings of IEEE Swarm Intelligence Symposium, 2005, pp.84-91.
    • (2005) Proceedings of IEEE Swarm Intelligence Symposium , pp. 84-91
    • Krishnanand, K.N.1    Ghose, D.2
  • 4
    • 70349992562 scopus 로고    scopus 로고
    • Glowworm swarm optimization: A new method for optimizing multi-modal functions
    • K.N. Krishnanand, D. Ghose. Glowworm swarm optimization: a new method for optimizing multi-modal functions, in Int. J. Computional Intelligence Studies, Vol.1, No.1, 2009, 93-119.
    • (2009) Int. J. Computional Intelligence Studies , vol.1 , Issue.1 , pp. 93-119
    • Krishnanand, K.N.1    Ghose, D.2
  • 5
    • 33750250373 scopus 로고    scopus 로고
    • Comparison of multi-modal optimization algorithms based on evolutionary algorithms
    • GECCO 2006 - Genetic and Evolutionary Computation Conference
    • Singh, G. and Deb, K. Comparison of multi-modal optimization algorithms based on evolutionary algorithms, in Proceedings of the Genetic and Evolutionary Computation Conference, 2006, 1305-1312. (Pubitemid 44611466)
    • (2006) GECCO 2006 - Genetic and Evolutionary Computation Conference , vol.2 , pp. 1305-1312
    • Singh, G.1    Deb, K.2
  • 6
    • 35048898017 scopus 로고    scopus 로고
    • Adaptively choosing neighborhood bests using species in a particle swarm optimizer for multimodal function optimization
    • (in Chinese)
    • Li, X. Adaptively choosing neighborhood bests using species in a particle swarm optimizer for multimodal function optimization, in Proceedings of the Genetic and Evolutionary Computation Conference, 2004, 105-116.(in Chinese).
    • (2004) Proceedings of the Genetic and Evolutionary Computation Conference , pp. 105-116
    • Li, X.1
  • 7
    • 78149321864 scopus 로고    scopus 로고
    • The searching accuracy of genetic algorithms with sharing
    • (in Chinese)
    • Zou H M, Ke Y A. The searching accuracy of genetic algorithms with sharing. Acta Armamentarii. 2000. 21 (4): 322-326. (in Chinese).
    • (2000) Acta Armamentarii , vol.21 , Issue.4 , pp. 322-326
    • Zou, H.M.1    Ke, Y.A.2
  • 8
    • 38349042021 scopus 로고    scopus 로고
    • Improved jumping gene genetic algorithm for multipeak function optimization
    • (in Chinese)
    • Pu H Z, Zhen Z Y. Improved jumping gene genetic algorithm for multipeak function optimization. Journal of Nanjing University of Aeronautics and Astronautics. 2007. 39(6): 829-832. (in Chinese).
    • (2007) Journal of Nanjing University of Aeronautics and Astronautics , vol.39 , Issue.6 , pp. 829-832
    • Pu, H.Z.1    Zhen, Z.Y.2
  • 9
    • 78149294924 scopus 로고    scopus 로고
    • A genetic algorithm for multimodal function optimization and its application in music method
    • (in Chinese)
    • Zou H M, Zhang R F, Liu Z W, Ke Y A. A genetic algorithm for multimodal function optimization and its application in music method. Signal Processing.1999. 15(1):60-67. (in Chinese).
    • (1999) Signal Processing , vol.15 , Issue.1 , pp. 60-67
    • Zou, H.M.1    Zhang, R.F.2    Liu, Z.W.3    Ke, Y.A.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.