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Volumn 7473 LNCS, Issue , 2012, Pages 754-761

Immunity-based gravitational search algorithm

Author keywords

Artificial Immune System; Evolution; Gravitational Optimization Algorithm; Vaccine

Indexed keywords

ARTIFICIAL IMMUNE SYSTEM; BENCHMARK FUNCTIONS; BIOLOGICAL IMMUNE SYSTEM; COMPUTATIONAL COSTS; CONVERGENCE SPEED; EVOLUTION; EVOLUTIONAL ALGORITHM; FAST CONVERGENCE; GRAVITATIONAL SEARCH ALGORITHMS; LOCAL OPTIMUM SOLUTION; NEWTON'S LAWS; OPTIMIZATION ALGORITHMS; PSO(PARTICLE SWARM OPTIMIZATION); UNIVERSAL GRAVITATION;

EID: 84867632600     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-34062-8_98     Document Type: Conference Paper
Times cited : (17)

References (6)
  • 1
    • 64549146732 scopus 로고    scopus 로고
    • MS Thesis, Shahid Bahonar University of Kerman, Iran
    • Rashedi, E.: Gravitational Search Algorithm. MS Thesis, Shahid Bahonar University of Kerman, Iran (2007)
    • (2007) Gravitational Search Algorithm
    • Rashedi, E.1
  • 3
    • 77955923868 scopus 로고    scopus 로고
    • BGSA: Binary gravitational search algorithm
    • December
    • Rashedi, E., Nezamabadi-pour, H., Saryazdi, S.: BGSA: binary gravitational search algorithm. Natural Computing (December 2009), http://dx.doi.org/10.1007/s11047-009-9175-3
    • (2009) Natural Computing
    • Rashedi, E.1    Nezamabadi-pour, H.2    Saryazdi, S.3
  • 6
    • 53749099091 scopus 로고    scopus 로고
    • Particle swarm optimization with adaptive population size and its application
    • Chen, D., Zhao, C.: Particle swarm optimization with adaptive population size and its application. Applied Soft Computing 9(1), 39-48 (2009)
    • (2009) Applied Soft Computing , vol.9 , Issue.1 , pp. 39-48
    • Chen, D.1    Zhao, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.