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Volumn 46, Issue 1-2, 2007, Pages 198-213

Parameter selection and adaptation in Unified Particle Swarm Optimization

Author keywords

Parameter adaptation; Parameter selection; Particle Swarm Optimization; Unified Particle Swarm Optimization

Indexed keywords

ALGORITHMS; OPTIMIZATION; PROBLEM SOLVING; STATISTICAL METHODS;

EID: 34247548801     PISSN: 08957177     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mcm.2006.12.019     Document Type: Article
Times cited : (138)

References (26)
  • 5
    • 0002012598 scopus 로고    scopus 로고
    • The ant colony optimization meta-heuristic
    • Corne D., Dorigo M., and Glover F. (Eds), McGraw-Hill
    • Dorigo M., and Di Caro G. The ant colony optimization meta-heuristic. In: Corne D., Dorigo M., and Glover F. (Eds). New Ideas in Optimization (1999), McGraw-Hill 11-32
    • (1999) New Ideas in Optimization , pp. 11-32
    • Dorigo, M.1    Di Caro, G.2
  • 7
    • 0036749163 scopus 로고    scopus 로고
    • Optimal design of power system stabilizers using particle swarm optimization
    • Abido M.A. Optimal design of power system stabilizers using particle swarm optimization. IEEE Transactions on Energy Conversion 17 3 (2002) 406-413
    • (2002) IEEE Transactions on Energy Conversion , vol.17 , Issue.3 , pp. 406-413
    • Abido, M.A.1
  • 8
    • 0037186503 scopus 로고    scopus 로고
    • Feature selection for structure-activity correlation using binary particle swarms
    • Agrafiotis D.K., and Cedeno W. Feature selection for structure-activity correlation using binary particle swarms. Journal of Medicinal Chemistry 45 5 (2002) 1098-1107
    • (2002) Journal of Medicinal Chemistry , vol.45 , Issue.5 , pp. 1098-1107
    • Agrafiotis, D.K.1    Cedeno, W.2
  • 9
    • 0036589139 scopus 로고    scopus 로고
    • The particle swarm optimization algorithm in size and shape optimization
    • Fourie P.C., and Groenwold A.A. The particle swarm optimization algorithm in size and shape optimization. Structural Multidisciplinary Optimization 23 (2002) 259-267
    • (2002) Structural Multidisciplinary Optimization , vol.23 , pp. 259-267
    • Fourie, P.C.1    Groenwold, A.A.2
  • 10
    • 0037114409 scopus 로고    scopus 로고
    • The use of particle swarm optimization for dynamical analysis in chemical processes
    • Ourique C.O., Biscaia E.C., and Carlos Pinto J. The use of particle swarm optimization for dynamical analysis in chemical processes. Computers and Chemical Engineering 26 (2002) 1783-1793
    • (2002) Computers and Chemical Engineering , vol.26 , pp. 1783-1793
    • Ourique, C.O.1    Biscaia, E.C.2    Carlos Pinto, J.3
  • 11
    • 0344291226 scopus 로고    scopus 로고
    • Recent approaches to global optimization problems through particle swarm optimization
    • Parsopoulos K.E., and Vrahatis M.N. Recent approaches to global optimization problems through particle swarm optimization. Natural Computing 1 2-3 (2002) 235-306
    • (2002) Natural Computing , vol.1 , Issue.2-3 , pp. 235-306
    • Parsopoulos, K.E.1    Vrahatis, M.N.2
  • 12
    • 3142669892 scopus 로고    scopus 로고
    • On the computation of all global minimizers through particle swarm optimization
    • Parsopoulos K.E., and Vrahatis M.N. On the computation of all global minimizers through particle swarm optimization. IEEE Transactions on Evolutionary Computation 8 3 (2004) 211-224
    • (2004) IEEE Transactions on Evolutionary Computation , vol.8 , Issue.3 , pp. 211-224
    • Parsopoulos, K.E.1    Vrahatis, M.N.2
  • 15
    • 0036522301 scopus 로고    scopus 로고
    • A swarm metaphor for multiobjective design optimization
    • Ray T., and Liew K.M. A swarm metaphor for multiobjective design optimization. Engineering Optimization 34 2 (2002) 141-153
    • (2002) Engineering Optimization , vol.34 , Issue.2 , pp. 141-153
    • Ray, T.1    Liew, K.M.2
  • 17
    • 24644440604 scopus 로고    scopus 로고
    • UPSO: A unified particle swarm optimization scheme
    • Proceedings of the International Conference of Computational Methods in Sciences and Engineering. ICCMSE 2004, VSP International Science Publishers, Zeist, The Netherlands
    • Parsopoulos K.E., and Vrahatis M.N. UPSO: A unified particle swarm optimization scheme. Proceedings of the International Conference of Computational Methods in Sciences and Engineering. ICCMSE 2004. Lecture Series on Computer and Computational Sciences vol. 1 (2004), VSP International Science Publishers, Zeist, The Netherlands 868-873
    • (2004) Lecture Series on Computer and Computational Sciences , vol.1 , pp. 868-873
    • Parsopoulos, K.E.1    Vrahatis, M.N.2
  • 18
    • 0001824610 scopus 로고
    • Adaptive and self-adaptive evolutionary computations
    • Palaniswami M., Attikiouzel Y., Marks R., Fogel D., and Fukuda T. (Eds), IEEE Press
    • Angeline P.J. Adaptive and self-adaptive evolutionary computations. In: Palaniswami M., Attikiouzel Y., Marks R., Fogel D., and Fukuda T. (Eds). Computational Intelligence: A Dynamic Systems Perspective (1995), IEEE Press 152-163
    • (1995) Computational Intelligence: A Dynamic Systems Perspective , pp. 152-163
    • Angeline, P.J.1
  • 19
    • 0029535737 scopus 로고
    • Particle swarm optimization
    • IEEE Service Center, Piscataway, NJ
    • Kennedy J., and Eberhart R.C. Particle swarm optimization. Proc. IEEE Int. Conf. Neural Networks vol. IV (1995), IEEE Service Center, Piscataway, NJ 1942-1948
    • (1995) Proc. IEEE Int. Conf. Neural Networks , vol.IV , pp. 1942-1948
    • Kennedy, J.1    Eberhart, R.C.2
  • 20
    • 24644444746 scopus 로고
    • Swarms, phase transitions, and collective intelligence
    • Palaniswami M., Attikiouzel Y., Marks R., Fogel D., and Fukuda T. (Eds), IEEE Press, Piscataway, NJ
    • Millonas M.M. Swarms, phase transitions, and collective intelligence. In: Palaniswami M., Attikiouzel Y., Marks R., Fogel D., and Fukuda T. (Eds). Computational Intelligence: A Dynamic System Perspective (1994), IEEE Press, Piscataway, NJ 137-151
    • (1994) Computational Intelligence: A Dynamic System Perspective , pp. 137-151
    • Millonas, M.M.1
  • 22
    • 0033666935 scopus 로고    scopus 로고
    • Comparing inertia weights and constriction factors in particle swarm optimization
    • IEEE Service Center, Piscataway, NJ
    • Eberhart R.C., and Shi Y. Comparing inertia weights and constriction factors in particle swarm optimization. Proc. 2000 IEEE CEC (2000), IEEE Service Center, Piscataway, NJ 84-88
    • (2000) Proc. 2000 IEEE CEC , pp. 84-88
    • Eberhart, R.C.1    Shi, Y.2
  • 23
    • 0036464756 scopus 로고    scopus 로고
    • The particle swarm-explosion, stability, and convergence in a multidimensional complex space
    • Clerc M., and Kennedy J. The particle swarm-explosion, stability, and convergence in a multidimensional complex space. IEEE Transactions on Evolutionary Computation 6 1 (2002) 58-73
    • (2002) IEEE Transactions on Evolutionary Computation , vol.6 , Issue.1 , pp. 58-73
    • Clerc, M.1    Kennedy, J.2
  • 24
    • 0037475094 scopus 로고    scopus 로고
    • The particle swarm optimization algorithm: Convergence analysis and parameter selection
    • Trelea I.C. The particle swarm optimization algorithm: Convergence analysis and parameter selection. Information Processing Letters 85 (2003) 317-325
    • (2003) Information Processing Letters , vol.85 , pp. 317-325
    • Trelea, I.C.1
  • 25
    • 84919713045 scopus 로고    scopus 로고
    • Evolutionary optimization versus particle swarm optimization: Philosophy and performance differences
    • Porto V.W., Saravanan N., Waagen D., and Eiben A.E. (Eds), Springer
    • Angeline P.J. Evolutionary optimization versus particle swarm optimization: Philosophy and performance differences. In: Porto V.W., Saravanan N., Waagen D., and Eiben A.E. (Eds). Evolutionary Programming vol. VII (1998), Springer 601-610
    • (1998) Evolutionary Programming , vol.VII , pp. 601-610
    • Angeline, P.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.