메뉴 건너뛰기




Volumn 55, Issue 11, 2012, Pages 2485-2494

Binary particle swarm optimization with multiple evolutionary strategies

Author keywords

binary particle swarm optimizer; evolutionary strategies; swarm intelligence

Indexed keywords


EID: 84867867481     PISSN: 1674733X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11432-011-4418-1     Document Type: Article
Times cited : (12)

References (15)
  • 3
    • 77956449801 scopus 로고    scopus 로고
    • Power allocation scheme for selfish cooperative communications based on game theory and particle swarm optimizer
    • Zhang G P, Yang K, Ding E J. Power allocation scheme for selfish cooperative communications based on game theory and particle swarm optimizer. Sci China Inf Sci, 2010, 53: 1908-1912.
    • (2010) Sci China Inf Sci , vol.53 , pp. 1908-1912
    • Zhang, G.P.1    Yang, K.2    Ding, E.J.3
  • 4
    • 76149135701 scopus 로고    scopus 로고
    • Novel scheduling strategy for downlink multiuser MIMO system: Particle swarm optimization
    • Hei Y Q, Li X H, Yi K C, et al. Novel scheduling strategy for downlink multiuser MIMO system: Particle swarm optimization. Sci China Ser F-Inf Sci, 2009, 52: 2279-2289.
    • (2009) Sci China Ser F-Inf Sci , vol.52 , pp. 2279-2289
    • Hei, Y.Q.1    Li, X.H.2    Yi, K.C.3
  • 5
    • 68349155858 scopus 로고    scopus 로고
    • Scheduling of demand side resources using binary particle swarm optimization
    • Pedrasa M A A, Spooner T D, MacGill I F. Scheduling of demand side resources using binary particle swarm optimization. IEEE Trans Power Syst, 2009, 24: 1173-1181.
    • (2009) IEEE Trans Power Syst , vol.24 , pp. 1173-1181
    • Pedrasa, M.A.A.1    Spooner, T.D.2    MacGill, I.F.3
  • 7
    • 75749136004 scopus 로고    scopus 로고
    • Analysis and benchmarking of meta-heuristic techniques for lay-up optimization
    • Bloomfield M W, Herencia J E, Weaver P M. Analysis and benchmarking of meta-heuristic techniques for lay-up optimization. Comput Struct, 2010, 88: 272-282.
    • (2010) Comput Struct , vol.88 , pp. 272-282
    • Bloomfield, M.W.1    Herencia, J.E.2    Weaver, P.M.3
  • 8
    • 84857048136 scopus 로고    scopus 로고
    • Swarm intelligence
    • Esteban P. Swarm intelligence. Harvard Business Rev, 2001, 79: 152-152.
    • (2001) Harvard Business Rev , vol.79 , pp. 152
    • Esteban, P.1
  • 9
    • 0038447911 scopus 로고    scopus 로고
    • Overview of particle swarm optimization
    • Xie X F, Zhang W J, Yang Z L. Overview of particle swarm optimization. Control Decision, 2003, 18: 129-134.
    • (2003) Control Decision , vol.18 , pp. 129-134
    • Xie, X.F.1    Zhang, W.J.2    Yang, Z.L.3
  • 10
    • 77950297194 scopus 로고    scopus 로고
    • A novel set-based particle swarm optimization method for discrete optimization problems
    • Chen W N, Zhang J, Chung H S H, et al. A novel set-based particle swarm optimization method for discrete optimization problems. IEEE Trans Evol Comput, 2010, 14: 278-300.
    • (2010) IEEE Trans Evol Comput , vol.14 , pp. 278-300
    • Chen, W.N.1    Zhang, J.2    Chung, H.S.H.3
  • 12
    • 69249212363 scopus 로고    scopus 로고
    • A modified particle swarm optimization for production planning problems in the TFT array process
    • Lin J T, Chen Y Y. A modified particle swarm optimization for production planning problems in the TFT array process. Expert Syst Appl, 2009, 36: 12264-12271.
    • (2009) Expert Syst Appl , vol.36 , pp. 12264-12271
    • Lin, J.T.1    Chen, Y.Y.2
  • 13
    • 53749088895 scopus 로고    scopus 로고
    • Introducing dynamic diversity into a discrete particle swarm optimization
    • Garcia-Villoria A, Pastor R. Introducing dynamic diversity into a discrete particle swarm optimization. Comput Operat Res, 2009, 36: 951-966.
    • (2009) Comput Operat Res , vol.36 , pp. 951-966
    • Garcia-Villoria, A.1    Pastor, R.2
  • 14
    • 42249086989 scopus 로고    scopus 로고
    • Particle swarm optimization: Basic concepts, variants and applications in power systems
    • del Valle Y, Venayagamoorthy G K, Mohagheghi S, et al. Particle swarm optimization: Basic concepts, variants and applications in power systems. IEEE Trans Evol Comput, 2008, 12: 171-195.
    • (2008) IEEE Trans Evol Comput , vol.12 , pp. 171-195
    • del Valle, Y.1    Venayagamoorthy, G.K.2    Mohagheghi, S.3
  • 15
    • 45749096693 scopus 로고    scopus 로고
    • Gene selection using hybrid particle swarm optimization and genetic algorithm
    • Li S T, Wu X X, Tan M K. Gene selection using hybrid particle swarm optimization and genetic algorithm. Soft Comput, 2008, 12: 1039-1048.
    • (2008) Soft Comput , vol.12 , pp. 1039-1048
    • Li, S.T.1    Wu, X.X.2    Tan, M.K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.