메뉴 건너뛰기




Volumn 220, Issue , 2013, Pages 246-267

Shrinking hypersphere based trajectory of particles in PSO

Author keywords

Function optimization; Hypersphere; Particle swarm optimization

Indexed keywords

BENCH-MARK PROBLEMS; CONTINUOUS FUNCTION OPTIMIZATION; CUMULATIVE DISTRIBUTION; FUNCTION OPTIMIZATION; HYPERSPHERE; PERFORMANCE INDICES; POSITION UPDATES; TIME COMPLEXITY;

EID: 84880068385     PISSN: 00963003     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.amc.2013.05.065     Document Type: Article
Times cited : (16)

References (40)
  • 1
    • 0036778849 scopus 로고    scopus 로고
    • Optimal power flow using particle swarm optimization
    • DOI 10.1016/S0142-0615(01)00067-9, PII S0142061501000679
    • M. Abido Optimal power flow using particle swarm optimization International Journal of Electrical Power & Energy Systems 24 7 2002 563 571 (Pubitemid 34532350)
    • (2002) International Journal of Electrical Power and Energy Systems , vol.24 , Issue.7 , pp. 563-571
    • Abido, M.A.1
  • 2
    • 38649139923 scopus 로고    scopus 로고
    • Improved particle swarm algorithms for global optimization
    • DOI 10.1016/j.amc.2007.06.020, PII S0096300307007126
    • M.M. Ali, and P. Kaelo Improved particle swarm algorithms for global optimization Applied Mathematics and Computation 196 2 2008 578 593 (Pubitemid 351174320)
    • (2008) Applied Mathematics and Computation , vol.196 , Issue.2 , pp. 578-593
    • Ali, M.M.1    Kaelo, P.2
  • 3
    • 84862849244 scopus 로고    scopus 로고
    • A modified binary particle swarm optimization for knapsack problems
    • J. Bansal, and K. Deep A modified binary particle swarm optimization for knapsack problems Applied Mathematics and Computation 218 22 2012 11042 11061
    • (2012) Applied Mathematics and Computation , vol.218 , Issue.22 , pp. 11042-11061
    • Bansal, J.1    Deep, K.2
  • 6
    • 23344434757 scopus 로고    scopus 로고
    • Nonlinear inertia weight variation for dynamic adaptation in particle swarm optimization
    • DOI 10.1016/j.cor.2004.08.012, PII S0305054804002023
    • A. Chatterjee, and P. Siarry Nonlinear inertia weight variation for dynamic adaptation in particle swarm optimization Computers & Operations Research 33 3 2006 859 871 (Pubitemid 41101128)
    • (2006) Computers and Operations Research , vol.33 , Issue.3 , pp. 859-871
    • Chatterjee, A.1    Siarry, P.2
  • 9
    • 84901421400 scopus 로고    scopus 로고
    • The swarm and the queen: Towards a deterministic and adaptive particle swarm optimization
    • M. Clerc The swarm and the queen: towards a deterministic and adaptive particle swarm optimization Proceedings of the Congress on Evolutionary Computation, CEC '99 vol. 3 1999 1951 1957
    • (1999) Proceedings of the Congress on Evolutionary Computation, CEC '99 , vol.3 VOL. , pp. 1951-1957
    • Clerc, M.1
  • 12
    • 0036464756 scopus 로고    scopus 로고
    • The particle swarm-explosion, stability, and convergence in a multidimensional complex space
    • DOI 10.1109/4235.985692, PII S1089778X02022099
    • M. Clerc, and J. Kennedy The particle swarm-explosion, stability, and convergence in a multidimensional complex space IEEE Transactions on Evolutionary Computation 6 1 2002 58 73 (Pubitemid 34404564)
    • (2002) IEEE Transactions on Evolutionary Computation , vol.6 , Issue.1 , pp. 58-73
    • Clerc, M.1    Kennedy, J.2
  • 14
    • 0033666935 scopus 로고    scopus 로고
    • Comparing inertia weights and constriction factors in particle swarm optimization
    • IEEE
    • R. Eberhart, and Y. Shi Comparing inertia weights and constriction factors in particle swarm optimization Proceedings of the Congress on Evolutionary Computation vol. 1 2000 IEEE 84 88
    • (2000) Proceedings of the Congress on Evolutionary Computation , vol.1 VOL. , pp. 84-88
    • Eberhart, R.1    Shi, Y.2
  • 15
    • 33750625354 scopus 로고    scopus 로고
    • An effective co-evolutionary particle swarm optimization for constrained engineering design problems
    • DOI 10.1016/j.engappai.2006.03.003, PII S0952197606000686
    • Q. He, and L. Wang An effective co-evolutionary particle swarm optimization for constrained engineering design problems Engineering Applications of Artificial Intelligence 20 1 2007 89 99 (Pubitemid 44692464)
    • (2007) Engineering Applications of Artificial Intelligence , vol.20 , Issue.1 , pp. 89-99
    • He, Q.1    Wang, L.2
  • 16
    • 33947655944 scopus 로고    scopus 로고
    • A hybrid particle swarm optimization with a feasibility-based rule for constrained optimization
    • DOI 10.1016/j.amc.2006.07.134, PII S0096300306010678
    • Q. He, and L. Wang A hybrid particle swarm optimization with a feasibility-based rule for constrained optimization Applied Mathematics and Computation 186 2 2007 1407 1422 (Pubitemid 46497348)
    • (2007) Applied Mathematics and Computation , vol.186 , Issue.2 , pp. 1407-1422
    • He, Q.1    Wang, L.2
  • 18
    • 40249103087 scopus 로고    scopus 로고
    • A dynamic inertia weight particle swarm optimization algorithm
    • DOI 10.1016/j.chaos.2006.09.063, PII S0960077906009131
    • B. Jiao, Z. Lian, and X. Gu A dynamic inertia weight particle swarm optimization algorithm Chaos, Solitons & Fractals 37 3 2008 698 705 (Pubitemid 351335358)
    • (2008) Chaos, Solitons and Fractals , vol.37 , Issue.3 , pp. 698-705
    • Jiao, B.1    Lian, Z.2    Gu, X.3
  • 19
    • 33750607505 scopus 로고    scopus 로고
    • New discrete method for particle swarm optimization and its application in transmission network expansion planning
    • DOI 10.1016/j.epsr.2006.02.016, PII S0378779606000526
    • Y. Jin, H. Cheng, J. Yan, and L. Zhang New discrete method for particle swarm optimization and its application in transmission network expansion planning Electric Power Systems Research 77 3 2007 227 233 (Pubitemid 44693083)
    • (2007) Electric Power Systems Research , vol.77 , Issue.3-4 , pp. 227-233
    • Jin, Y.-X.1    Cheng, H.-Z.2    Yan, J.-y.3    Zhang, L.4
  • 23
    • 33744730797 scopus 로고    scopus 로고
    • Comprehensive learning particle swarm optimizer for global optimization of multimodal functions
    • DOI 10.1109/TEVC.2005.857610
    • J. Liang, A. Qin, P. Suganthan, and S. Baskar Comprehensive learning particle swarm optimizer for global optimization of multimodal functions IEEE Transactions on Evolutionary Computation 10 3 2006 281 295 (Pubitemid 43821759)
    • (2006) IEEE Transactions on Evolutionary Computation , vol.10 , Issue.3 , pp. 281-295
    • Liang, J.J.1    Qin, A.K.2    Suganthan, P.N.3    Baskar, S.4
  • 24
    • 33847609606 scopus 로고    scopus 로고
    • A discrete version of particle swarm optimization for flowshop scheduling problems
    • DOI 10.1016/j.cor.2005.11.017, PII S0305054805003643
    • C. Liao, C. Tseng, and P. Luarn A discrete version of particle swarm optimization for flowshop scheduling problems Computers & Operations Research 34 10 2007 3099 3111 (Pubitemid 46356739)
    • (2007) Computers and Operations Research , vol.34 , Issue.10 , pp. 3099-3111
    • Liao, C.-J.1    Chao-Tang Tseng2    Luarn, P.3
  • 25
    • 48749109333 scopus 로고    scopus 로고
    • Particle swarm optimization for parameter determination and feature selection of support vector machines
    • S. Lin, K. Ying, S. Chen, and Z. Lee Particle swarm optimization for parameter determination and feature selection of support vector machines Expert Systems with Applications 35 4 2008 1817 1824
    • (2008) Expert Systems with Applications , vol.35 , Issue.4 , pp. 1817-1824
    • Lin, S.1    Ying, K.2    Chen, S.3    Lee, Z.4
  • 27
    • 0032652375 scopus 로고    scopus 로고
    • Controlled random search technique incorporating the simulated annealing concept for solving integer and mixed integer global optimization problems
    • C. Mohan, and H.T. Nguyen Controlled random search technique incorporating the simulated annealing concept for solving integer and mixed integer global optimization problems Computational Optimization and Applications 14 1 1999 103 132
    • (1999) Computational Optimization and Applications , vol.14 , Issue.1 , pp. 103-132
    • Mohan, C.1    Nguyen, H.T.2
  • 28
    • 38849205466 scopus 로고    scopus 로고
    • A discrete particle swarm optimization algorithm for the no-wait flowshop scheduling problem
    • DOI 10.1016/j.cor.2006.12.030, PII S0305054806003170
    • Q. Pan, M. Fatih Tasgetiren, and Y. Liang A discrete particle swarm optimization algorithm for the no-wait flowshop scheduling problem Computers & Operations Research 35 9 2008 2807 2839 (Pubitemid 351193083)
    • (2008) Computers and Operations Research , vol.35 , Issue.9 , pp. 2807-2839
    • Pan, Q.-K.1    Fatih Tasgetiren, M.2    Liang, Y.-C.3
  • 29
    • 59649083826 scopus 로고    scopus 로고
    • Differential evolution algorithm with strategy adaptation for global numerical optimization
    • A. Qin, V. Huang, and P. Suganthan Differential evolution algorithm with strategy adaptation for global numerical optimization IEEE Transactions on Evolutionary Computation 13 2 2009 398 417
    • (2009) IEEE Transactions on Evolutionary Computation , vol.13 , Issue.2 , pp. 398-417
    • Qin, A.1    Huang, V.2    Suganthan, P.3
  • 31
    • 33751191658 scopus 로고    scopus 로고
    • A hybrid particle swarm optimization for job shop scheduling problem
    • D. Sha, and C. Hsu A hybrid particle swarm optimization for job shop scheduling problem Computers & Industrial Engineering 51 4 2006 791 808
    • (2006) Computers & Industrial Engineering , vol.51 , Issue.4 , pp. 791-808
    • Sha, D.1    Hsu, C.2
  • 32
    • 34247594331 scopus 로고    scopus 로고
    • Particle swarm and ant colony algorithms hybridized for improved continuous optimization
    • DOI 10.1016/j.amc.2006.09.098, PII S0096300306013294
    • P. Shelokar, P. Siarry, V. Jayaraman, and B. Kulkarni Particle swarm and ant colony algorithms hybridized for improved continuous optimization Applied Mathematics and Computation 188 1 2007 129 142 (Pubitemid 46686707)
    • (2007) Applied Mathematics and Computation , vol.188 , Issue.1 , pp. 129-142
    • Shelokar, P.S.1    Siarry, P.2    Jayaraman, V.K.3    Kulkarni, B.D.4
  • 33
    • 34250187782 scopus 로고    scopus 로고
    • Particle swarm optimization-based algorithms for TSP and generalized TSP
    • DOI 10.1016/j.ipl.2007.03.010, PII S0020019007000804
    • X. Shi, Y. Liang, H. Lee, C. Lu, and Q. Wang Particle swarm optimization-based algorithms for tsp and generalized tsp Information Processing Letters 103 5 2007 169 176 (Pubitemid 46898376)
    • (2007) Information Processing Letters , vol.103 , Issue.5 , pp. 169-176
    • Shi, X.H.1    Liang, Y.C.2    Lee, H.P.3    Lu, C.4    Wang, Q.X.5
  • 35
    • 79960178037 scopus 로고    scopus 로고
    • Cellular particle swarm optimization
    • Y. Shi, H. Liu, L. Gao, and G. Zhang Cellular particle swarm optimization Information Sciences 181 20 2011 4460 4493
    • (2011) Information Sciences , vol.181 , Issue.20 , pp. 4460-4493
    • Shi, Y.1    Liu, H.2    Gao, L.3    Zhang, G.4
  • 37
    • 0037475094 scopus 로고    scopus 로고
    • The particle swarm optimization algorithm: Convergence analysis and parameter selection
    • I. Trelea The particle swarm optimization algorithm: convergence analysis and parameter selection Information Processing Letters 85 6 2003 317 325
    • (2003) Information Processing Letters , vol.85 , Issue.6 , pp. 317-325
    • Trelea, I.1
  • 39
    • 31944448941 scopus 로고    scopus 로고
    • A study of particle swarm optimization particle trajectories
    • DOI 10.1016/j.ins.2005.02.003, PII S0020025505000630
    • F. Van den Bergh, and A. Engelbrecht A study of particle swarm optimization particle trajectories Information Sciences 176 8 2006 937 971 (Pubitemid 43190068)
    • (2006) Information Sciences , vol.176 , Issue.8 , pp. 937-971
    • Van Den Bergh, F.1    Engelbrecht, A.P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.