메뉴 건너뛰기




Volumn 27, Issue , 2014, Pages 80-102

Particle swarm optimization with increasing topology connectivity

Author keywords

Increasing topology connectivity (ITC); Metaheuristic search (MS); Neighborhood search (NS) operator; Particle swarm optimization (PSO)

Indexed keywords

ENGINEERING DESIGN PROBLEMS; EXPLORATION/EXPLOITATION; INCREASING TOPOLOGY CONNECTIVITY (ITC); META-HEURISTIC SEARCH; META-HEURISTIC SEARCH ALGORITHMS; NEIGHBORHOOD SEARCH; SEARCHING PERFORMANCE; SINGLE OBJECTIVE OPTIMIZATION;

EID: 84888266312     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2013.09.011     Document Type: Article
Times cited : (85)

References (87)
  • 3
    • 35448934039 scopus 로고    scopus 로고
    • A review of particle swarm optimization. Part I: Background and development
    • A. Banks, J. Vincent, and C. Anyakoha A review of particle swarm optimization. Part I: background and development Natural Computing 6 2007 467 484
    • (2007) Natural Computing , vol.6 , pp. 467-484
    • Banks, A.1    Vincent, J.2    Anyakoha, C.3
  • 4
    • 39049136085 scopus 로고    scopus 로고
    • A review of particle swarm optimization. Part II: Hybridisation, combinatorial, multicriteria and constrained optimization, and indicative applications
    • A. Banks, J. Vincent, and C. Anyakoha A review of particle swarm optimization. Part II: hybridisation, combinatorial, multicriteria and constrained optimization, and indicative applications Natural Computing 7 2008 109 124
    • (2008) Natural Computing , vol.7 , pp. 109-124
    • Banks, A.1    Vincent, J.2    Anyakoha, C.3
  • 6
    • 0037592480 scopus 로고    scopus 로고
    • Evolution strategies: A comprehensive introduction
    • H.-G. Beyer, and H.-P. Schwefel Evolution strategies: a comprehensive introduction Natural Computing 1 2002 3 52
    • (2002) Natural Computing , vol.1 , pp. 3-52
    • Beyer, H.-G.1    Schwefel, H.-P.2
  • 9
    • 0036464756 scopus 로고    scopus 로고
    • The particle swarm - Explosion, stability, and convergence in a multidimensional complex space
    • M. Clerc, and J. Kennedy The particle swarm - explosion, stability, and convergence in a multidimensional complex space IEEE Transactions on Evolutionary Computation 6 2002 58 73
    • (2002) IEEE Transactions on Evolutionary Computation , vol.6 , pp. 58-73
    • Clerc, M.1    Kennedy, J.2
  • 12
    • 53149096142 scopus 로고    scopus 로고
    • Particle swarm approach based on quantum mechanics and harmonic oscillator potential well for economic load dispatch with valve-point effects
    • L. dos Santos Coelho, and V.C. Mariani Particle swarm approach based on quantum mechanics and harmonic oscillator potential well for economic load dispatch with valve-point effects Energy Conversion and Management 49 2008 3080 3085
    • (2008) Energy Conversion and Management , vol.49 , pp. 3080-3085
    • Dos Santos Coelho, L.1    Mariani, V.C.2
  • 13
    • 0034863568 scopus 로고    scopus 로고
    • Particle swarm optimization: Developments, applications and resources. In: Congress on Evolutionary Computation
    • Eberhart, R.C., Shi, Y., 2001. Particle swarm optimization: developments, applications and resources. In: Congress on Evolutionary Computation. Proceedings of the 2001, vol. 81, pp. 81-86.
    • (2001) Proceedings of the 2001 , vol.81 , pp. 81-86
    • Eberhart, R.C.1    Shi, Y.2
  • 15
    • 84857507891 scopus 로고    scopus 로고
    • Phase angle-encoded and quantum-behaved particle swarm optimization applied to three-dimensional route planning for UAV
    • Y. Fu, M. Ding, and C. Zhou Phase angle-encoded and quantum-behaved particle swarm optimization applied to three-dimensional route planning for UAV IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans 42 2012 511 526
    • (2012) IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans , vol.42 , pp. 511-526
    • Fu, Y.1    Ding, M.2    Zhou, C.3
  • 16
    • 84883744292 scopus 로고    scopus 로고
    • A novel artificial bee colony algorithm based on modified search equation and orthogonal learning
    • W.-f. Gao, S.-y. Liu, and L.-L. Huang A novel artificial bee colony algorithm based on modified search equation and orthogonal learning IEEE Transactions on Cybernetics 43 2013 1011 1024
    • (2013) IEEE Transactions on Cybernetics , vol.43 , pp. 1011-1024
    • Gao, W.-F.1    Liu, S.-Y.2    Huang, L.-L.3
  • 19
    • 0035377566 scopus 로고    scopus 로고
    • Completely derandomized self-adaptation in evolution strategies
    • N. Hansen, and A. Ostermeier Completely derandomized self-adaptation in evolution strategies Evolutionary Computation 9 2001 159 195
    • (2001) Evolutionary Computation , vol.9 , pp. 159-195
    • Hansen, N.1    Ostermeier, A.2
  • 20
    • 70349873857 scopus 로고    scopus 로고
    • Group search optimizer: An optimization algorithm inspired by animal searching behavior
    • S. He, Q.H. Wu, and J.R. Saunders Group search optimizer: an optimization algorithm inspired by animal searching behavior IEEE Transactions on Evolutionary Computation 13 2009 973 990
    • (2009) IEEE Transactions on Evolutionary Computation , vol.13 , pp. 973-990
    • He, S.1    Wu, Q.H.2    Saunders, J.R.3
  • 23
    • 78649820012 scopus 로고    scopus 로고
    • A hybrid PSO/ACO algorithm for discovering classification rules in data mining
    • N. Holden, and A.A. Freitas A hybrid PSO/ACO algorithm for discovering classification rules in data mining Journal of Artificial Evolution and Applications 2008 2008 1 11
    • (2008) Journal of Artificial Evolution and Applications , vol.2008 , pp. 1-11
    • Holden, N.1    Freitas, A.A.2
  • 26
    • 80055064646 scopus 로고    scopus 로고
    • Example-based learning particle swarm optimization for continuous optimization
    • H. Huang, H. Qin, Z. Hao, and A. Lim Example-based learning particle swarm optimization for continuous optimization Information Sciences 182 2012 125 138
    • (2012) Information Sciences , vol.182 , pp. 125-138
    • Huang, H.1    Qin, H.2    Hao, Z.3    Lim, A.4
  • 27
    • 79953035171 scopus 로고    scopus 로고
    • The flexi-PSO: Towards a more flexible particle swarm optimizer
    • M. Kathrada The flexi-PSO: towards a more flexible particle swarm optimizer OPSEARCH 46 2009 52 68
    • (2009) OPSEARCH , vol.46 , pp. 52-68
    • Kathrada, M.1
  • 28
    • 84899047533 scopus 로고    scopus 로고
    • Small worlds and mega-minds: Effects of neighborhood topology on particle swarm performance
    • Kennedy, J., 1999. Small worlds and mega-minds: effects of neighborhood topology on particle swarm performance. In: Proceedings of IEEE Congress on Evolutionary Computation, vol. 1933, p. 1938.
    • (1999) Proceedings of IEEE Congress on Evolutionary Computation , vol.1933 , pp. 1938
    • Kennedy, J.1
  • 34
    • 84863431143 scopus 로고    scopus 로고
    • Grey particle swarm optimization
    • M.-S. Leu, and M.-F. Yeh Grey particle swarm optimization Applied Soft Computing 12 2012 2985 2996
    • (2012) Applied Soft Computing , vol.12 , pp. 2985-2996
    • Leu, M.-S.1    Yeh, M.-F.2
  • 39
    • 52949136333 scopus 로고    scopus 로고
    • Particle swarm optimization-based parameter identification applied to permanent magnet synchronous motors
    • L. Liu, W. Liu, and D.A. Cartes Particle swarm optimization-based parameter identification applied to permanent magnet synchronous motors Engineering Applications of Artificial Intelligence 21 2008 1092 1100
    • (2008) Engineering Applications of Artificial Intelligence , vol.21 , pp. 1092-1100
    • Liu, L.1    Liu, W.2    Cartes, D.A.3
  • 41
    • 84882980187 scopus 로고    scopus 로고
    • A hybridized particle swarm optimization with expanding neighborhood topology for the feature selection problem
    • M. Blesa, C. Blum, P. Festa, A. Roli, M. Sampels, Springer Berlin, Heidelberg
    • Y. Marinakis, and M. Marinaki A hybridized particle swarm optimization with expanding neighborhood topology for the feature selection problem M. Blesa, C. Blum, P. Festa, A. Roli, M. Sampels, Hybrid Metaheuristics 2013 Springer Berlin, Heidelberg 37 51
    • (2013) Hybrid Metaheuristics , pp. 37-51
    • Marinakis, Y.1    Marinaki, M.2
  • 44
    • 84862858496 scopus 로고    scopus 로고
    • Training feedforward neural networks using hybrid particle swarm optimization and gravitational search algorithm
    • S. Mirjalili, S.Z. Mohd Hashim, and H. Moradian Sardroudi Training feedforward neural networks using hybrid particle swarm optimization and gravitational search algorithm Applied Mathematics and Computation 218 2012 11125 11137
    • (2012) Applied Mathematics and Computation , vol.218 , pp. 11125-11137
    • Mirjalili, S.1    Mohd Hashim, S.Z.2    Moradian Sardroudi, H.3
  • 48
    • 84857060174 scopus 로고    scopus 로고
    • Local search based hybrid particle swarm optimization algorithm for multiobjective optimization
    • A.A. Mousa, M.A. El-Shorbagy, and W.F. Abd-El-Wahed Local search based hybrid particle swarm optimization algorithm for multiobjective optimization Swarm and Evolutionary Computation 3 2012 1 14
    • (2012) Swarm and Evolutionary Computation , vol.3 , pp. 1-14
    • Mousa, A.A.1    El-Shorbagy, M.A.2    Abd-El-Wahed, W.F.3
  • 49
    • 84862688092 scopus 로고    scopus 로고
    • A dynamic neighborhood learning based particle swarm optimizer for global numerical optimization
    • M. Nasir, S. Das, D. Maity, S. Sengupta, U. Halder, and P.N. Suganthan A dynamic neighborhood learning based particle swarm optimizer for global numerical optimization Information Sciences 209 2012 16 36
    • (2012) Information Sciences , vol.209 , pp. 16-36
    • Nasir, M.1    Das, S.2    Maity, D.3    Sengupta, S.4    Halder, U.5    Suganthan, P.N.6
  • 51
    • 84868348401 scopus 로고    scopus 로고
    • MPI-based parallel synchronous vector evaluated particle swarm optimization for multi-objective design optimization of composite structures
    • S.N. Omkar, A. Venkatesh, and M. Mudigere MPI-based parallel synchronous vector evaluated particle swarm optimization for multi-objective design optimization of composite structures Engineering Applications of Artificial Intelligence 25 2012 1611 1627
    • (2012) Engineering Applications of Artificial Intelligence , vol.25 , pp. 1611-1627
    • Omkar, S.N.1    Venkatesh, A.2    Mudigere, M.3
  • 52
    • 79951953413 scopus 로고    scopus 로고
    • Exploring comprehensible classification rules from trained neural networks integrated with a time-varying binary particle swarm optimizer
    • L. ÖzbakIr, and Y. Delice Exploring comprehensible classification rules from trained neural networks integrated with a time-varying binary particle swarm optimizer Engineering Applications of Artificial Intelligence 24 2011 491 500
    • (2011) Engineering Applications of Artificial Intelligence , vol.24 , pp. 491-500
    • Özbakir, L.1    Delice, Y.2
  • 53
    • 84863434339 scopus 로고    scopus 로고
    • Repeated weighted boosting search for discrete or mixed search space and multiple-objective optimisation
    • S.F. Page, S. Chen, C.J. Harris, and N.M. White Repeated weighted boosting search for discrete or mixed search space and multiple-objective optimisation Applied Soft Computing 12 2012 2740 2755
    • (2012) Applied Soft Computing , vol.12 , pp. 2740-2755
    • Page, S.F.1    Chen, S.2    Harris, C.J.3    White, N.M.4
  • 54
  • 55
    • 0344291226 scopus 로고    scopus 로고
    • Recent approaches to global optimization problems through Particle Swarm Optimization
    • K.E. Parsopoulos, and M.N. Vrahatis Recent approaches to global optimization problems through Particle Swarm Optimization Natural Computing 1 2002 235 306
    • (2002) Natural Computing , vol.1 , pp. 235-306
    • Parsopoulos, K.E.1    Vrahatis, M.N.2
  • 57
    • 59649083826 scopus 로고    scopus 로고
    • Differential evolution algorithm with strategy adaptation for global numerical optimization
    • A.K. Qin, V.L. Huang, and P.N. Suganthan Differential evolution algorithm with strategy adaptation for global numerical optimization IEEE Transactions on Evolutionary Computation 13 2009 398 417
    • (2009) IEEE Transactions on Evolutionary Computation , vol.13 , pp. 398-417
    • Qin, A.K.1    Huang, V.L.2    Suganthan, P.N.3
  • 58
  • 59
    • 79953655383 scopus 로고    scopus 로고
    • Simple heuristics-based selection of guides for multi-objective PSO with an application to electrical distribution system planning
    • N.C. Sahoo, S. Ganguly, and D. Das Simple heuristics-based selection of guides for multi-objective PSO with an application to electrical distribution system planning Engineering Applications of Artificial Intelligence 24 2011 567 585
    • (2011) Engineering Applications of Artificial Intelligence , vol.24 , pp. 567-585
    • Sahoo, N.C.1    Ganguly, S.2    Das, D.3
  • 60
    • 81855167019 scopus 로고    scopus 로고
    • Fuzzy-Pareto-dominance driven possibilistic model based planning of electrical distribution systems using multi-objective particle swarm optimization
    • N.C. Sahoo, S. Ganguly, and D. Das Fuzzy-Pareto-dominance driven possibilistic model based planning of electrical distribution systems using multi-objective particle swarm optimization Expert Systems with Applications 39 2012 881 893
    • (2012) Expert Systems with Applications , vol.39 , pp. 881-893
    • Sahoo, N.C.1    Ganguly, S.2    Das, D.3
  • 62
    • 0029768771 scopus 로고    scopus 로고
    • Re-evaluating genetic algorithm performance under coordinate rotation of benchmark functions
    • R. Salomon Re-evaluating genetic algorithm performance under coordinate rotation of benchmark functions Biosystems 39 1996 263 278
    • (1996) Biosystems , vol.39 , pp. 263-278
    • Salomon, R.1
  • 63
    • 0025448058 scopus 로고
    • Nonlinear integer and discrete programming in mechanical design optimization
    • E. Sandgren Nonlinear integer and discrete programming in mechanical design optimization Journal of Mechanical Design 112 1990 223 229
    • (1990) Journal of Mechanical Design , vol.112 , pp. 223-229
    • Sandgren, E.1
  • 65
    • 65549169233 scopus 로고    scopus 로고
    • A hybrid approach for design of stable adaptive fuzzy controllers employing Lyapunov theory and particle swarm optimization
    • K.D. Sharma, A. Chatterjee, and A. Rakshit A hybrid approach for design of stable adaptive fuzzy controllers employing Lyapunov theory and particle swarm optimization IEEE Transactions on Fuzzy Systems 17 2009 329 342
    • (2009) IEEE Transactions on Fuzzy Systems , vol.17 , pp. 329-342
    • Sharma, K.D.1    Chatterjee, A.2    Rakshit, A.3
  • 69
    • 0142000477 scopus 로고    scopus 로고
    • Differential evolution - A simple and efficient heuristic for global optimization over continuous spaces
    • R. Storn, and K. Price Differential evolution - a simple and efficient heuristic for global optimization over continuous spaces Journal of Global Optimization 11 1997 341 359
    • (1997) Journal of Global Optimization , vol.11 , pp. 341-359
    • Storn, R.1    Price, K.2
  • 71
    • 84855757607 scopus 로고    scopus 로고
    • Gene expression data analysis with the clustering method based on an improved quantum-behaved Particle Swarm Optimization
    • J. Sun, W. Chen, W. Fang, X. Wun, and W. Xu Gene expression data analysis with the clustering method based on an improved quantum-behaved Particle Swarm Optimization Engineering Applications of Artificial Intelligence 25 2012 376 391
    • (2012) Engineering Applications of Artificial Intelligence , vol.25 , pp. 376-391
    • Sun, J.1    Chen, W.2    Fang, W.3    Wun, X.4    Xu, W.5
  • 73
    • 4344586511 scopus 로고    scopus 로고
    • Particle swarm optimization with particles having quantum behavior
    • Portland, OR, USA
    • Sun, J., Feng, B., Xu, W., 2004. Particle swarm optimization with particles having quantum behavior. In: Proceedings of Congress on Evolutionary Computation (CEC2004), Portland, OR, USA, vol. 321, pp. 325-331.
    • (2004) Proceedings of Congress on Evolutionary Computation (CEC2004) , vol.321 , pp. 325-331
    • Sun, J.1    Feng, B.2    Xu, W.3
  • 74
    • 80053575443 scopus 로고    scopus 로고
    • Feedback learning particle swarm optimization
    • Y. Tang, Z. Wang, and J.-a. Fang Feedback learning particle swarm optimization Applied Soft Computing 11 2011 4713 4725
    • (2011) Applied Soft Computing , vol.11 , pp. 4713-4725
    • Tang, Y.1    Wang, Z.2    Fang, J.-A.3
  • 78
    • 84875210348 scopus 로고    scopus 로고
    • Application of dynamic neighborhood small population particle swarm optimization for reconfiguration of shipboard power system
    • C. Wang, Y. Liu, and Y. Zhao Application of dynamic neighborhood small population particle swarm optimization for reconfiguration of shipboard power system Engineering Applications of Artificial Intelligence 26 2013 1255 1262
    • (2013) Engineering Applications of Artificial Intelligence , vol.26 , pp. 1255-1262
    • Wang, C.1    Liu, Y.2    Zhao, Y.3
  • 79
    • 58949089563 scopus 로고    scopus 로고
    • Reserve-constrained multiarea environmental/economic dispatch based on particle swarm optimization with local search
    • L. Wang, and C. Singh Reserve-constrained multiarea environmental/ economic dispatch based on particle swarm optimization with local search Engineering Applications of Artificial Intelligence 22 2009 298 307
    • (2009) Engineering Applications of Artificial Intelligence , vol.22 , pp. 298-307
    • Wang, L.1    Singh, C.2
  • 82
    • 64049093707 scopus 로고    scopus 로고
    • An efficient hybrid data clustering method based on K-harmonic means and Particle Swarm Optimization
    • F. Yang, T. Sun, and C. Zhang An efficient hybrid data clustering method based on K-harmonic means and Particle Swarm Optimization Expert Systems with Applications 36 2009 9847 9852
    • (2009) Expert Systems with Applications , vol.36 , pp. 9847-9852
    • Yang, F.1    Sun, T.2    Zhang, C.3
  • 84
    • 0000027441 scopus 로고
    • The simplest case of a strange attractor
    • G.M. Zaslavsky The simplest case of a strange attractor Physics Letters A 69 1978 145 147
    • (1978) Physics Letters A , vol.69 , pp. 145-147
    • Zaslavsky, G.M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.