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Volumn , Issue , 2012, Pages 117-123

LibCudaOptimize: An open source library of GPU-based metaheuristics

Author keywords

CUDA; Differential evolution; GPGPU; Open source library; Particle swarm optimization; Scatter search; Solis and Wets local search

Indexed keywords

CALCULATIONS; COMPUTER GRAPHICS; GRAPHICS PROCESSING UNIT; HEURISTIC ALGORITHMS; LOCAL SEARCH (OPTIMIZATION); PARTICLE SWARM OPTIMIZATION (PSO); PROGRAM PROCESSORS; SIMULATED ANNEALING;

EID: 84864976693     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2330784.2330803     Document Type: Conference Paper
Times cited : (21)

References (20)
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    • Kirkpatrick, S.1    Gelatt, C.D.2    Vecchi, M.P.3
  • 9
    • 79957959354 scopus 로고    scopus 로고
    • Towards PARADISEO-MO-GPU: A framework for GPU-based local search metaheuristics
    • N. Melab, T. Luong, K. Boufaras, and E. Talbi. Towards ParadisEO-MO-GPU: A Framework for GPU-Based Local Search Metaheuristics. In Advances in Computational Intelligence, volume 6691, pages 401-408. 2011.
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  • 10
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  • 14
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  • 16
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    • Differential evolution - A simple and efficient adaptive scheme for global optimization over continuous spaces
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  • 19
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    • JCLEC: A Java framework for evolutionary computation
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.