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Volumn 7492 LNCS, Issue PART 2, 2012, Pages 398-407

A comparative study of three GPU-based metaheuristics

Author keywords

Differential Evolution; Global Continuous Optimization; GPGPU; Particle Swarm Optimization; Scatter Search

Indexed keywords

COMPARATIVE STUDIES; CONTINUOUS OPTIMIZATION; DIFFERENTIAL EVOLUTION; FITNESS FUNCTIONS; GPGPU; META HEURISTICS; SCATTER SEARCH; SEQUENTIAL IMPLEMENTATION;

EID: 84866378206     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-32964-7_40     Document Type: Conference Paper
Times cited : (9)

References (21)
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    • Problem definitions and evaluation criteria for the CEC 2005 special session on real-parameter optimization
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    • Suganthan, P.N.1    Hansen, N.2    Liang, J.J.3    Deb, K.4    Chen, Y.5    Auger, A.6    Tiwari, S.7
  • 18
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    • A comparative study of differential evolution, particle swarm optimization, and evolutionary algorithms on numerical benchmark problems
    • Vesterstrom, J., Thomsen, R.: A comparative study of differential evolution, particle swarm optimization, and evolutionary algorithms on numerical benchmark problems. In: Proc. IEEE Congress on Evolutionary Computation, pp. 1980-1987 (2004)
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    • Massively parallel differential evolution-pattern search optimization with graphics hardware acceleration: An investigation on bound constrained optimization problems
    • Zhu, W.: Massively parallel differential evolution-pattern search optimization with graphics hardware acceleration: an investigation on bound constrained optimization problems. Journal of Global Optimization 50(3), 417-437 (2011)
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    • Zhu, W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.