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Volumn , Issue , 2005, Pages 161-168

Breeding swarms: A GA/PSO hybrid

Author keywords

Breeding Swarms; Function Minimization; Genetic Algorithms; Particle Swarm Optimization

Indexed keywords

BREEDING SWARMS; FUNCTION MINIMIZATION; PARTICLE SWARM OPTIMIZATION;

EID: 32444438839     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1068009.1068035     Document Type: Conference Paper
Times cited : (109)

References (13)
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    • (1998) Lecture Notes in Computer Science , vol.1447 , pp. 611-616
    • Eberhart, R.1    Shi, Y.2
  • 4
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    • Real-coded genetic algorithms and interval-schemata
    • L. D. Whitley, editor. Morgan Kaufmann, San Mateo, CA
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    • (1993) Foundations of Genetic Algorithms , vol.2 , pp. 187-202
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    • (2001) Swarm Intelligence
    • Kennedy, J.1    Eberhart, R.2
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    • Comparison of genetic algorithm and particle swarm optimizer when evolving a recurrent neural network
    • E. Cantú-Paz and et. al., editors, Genetic and Evolutionary Computation - GECCO-2003, Chicago, 12-16 July. Springer-Verlag
    • M. Settles, B. Rodebaugh, and T. Soule. Comparison of genetic algorithm and particle swarm optimizer when evolving a recurrent neural network. In E. Cantú-Paz and et. al., editors, Genetic and Evolutionary Computation - GECCO-2003, volume 2723 of LNCS, pages 148-149, Chicago, 12-16 July 2003. Springer-Verlag.
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  • 12
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    • A hybrid ga/pso to evolve artificial recurrent neural networks
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    • M. Settles and T. Soule. A hybrid ga/pso to evolve artificial recurrent neural networks. In C. Dagli and et. al., editors, Intelligent Engineering Systems Through Aritificial Neural Networks (ANNIE-2003), volume 13, pages 51-56, St. Louis, 2-5 Nov. 2003. ASME Press.
    • (2003) Intelligent Engineering Systems Through Aritificial Neural Networks (ANNIE-2003) , vol.13 , pp. 51-56
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.