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Volumn , Issue , 2008, Pages 3269-3274

An evolutionary particle swarm algorithm for multi-objective optimisation

Author keywords

Multi objective optimisation; Optimal alloy design; Pareto optimality; Swarm intelligence

Indexed keywords

ADAPTIVE ALGORITHMS; IMAGE RETRIEVAL; INDUSTRIAL ENGINEERING; INTELLIGENT CONTROL; PROCESS ENGINEERING; SCREENING;

EID: 52149121158     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WCICA.2008.4593444     Document Type: Conference Paper
Times cited : (8)

References (22)
  • 1
    • 0029535737 scopus 로고    scopus 로고
    • J. Kennedy and R. Eberhart, Particle Swarm Optimization, Proc. IEEE International Conf. on Neural Networks, Perth; Australia, p.1942-1948, 1995
    • J. Kennedy and R. Eberhart, Particle Swarm Optimization, Proc. IEEE International Conf. on Neural Networks, Perth; Australia, p.1942-1948, 1995
  • 2
    • 0030645460 scopus 로고    scopus 로고
    • The Particle Swarm: Social adaptation of knowledge
    • Indianapolis, IN, P
    • J. Kennedy, The Particle Swarm: Social adaptation of knowledge, Proc. 1997 Int. Conf. Evolutionary Computation, Indianapolis, IN, 1997, P. 303-308
    • (1997) Proc. 1997 Int. Conf. Evolutionary Computation , pp. 303-308
    • Kennedy, J.1
  • 4
    • 84919713045 scopus 로고    scopus 로고
    • Evolutionary Optimization Versus Particle Swarm Optimization: Philosophy and Performance Differences
    • P. J. Angeline, Evolutionary Optimization Versus Particle Swarm Optimization: Philosophy and Performance Differences, Lecture Notes in Computer Science, p. 601-610, 1998.
    • (1998) Lecture Notes in Computer Science , pp. 601-610
    • Angeline, P.J.1
  • 6
    • 0034869626 scopus 로고    scopus 로고
    • Fuzzy Adaptive Particle Swarm Optimization
    • Seoul, Korea, p
    • Y. Shi and R. Eberhart, Fuzzy Adaptive Particle Swarm Optimization, Congress on Evolutionary Computation, Seoul, Korea, p. 101-106, 2001.
    • (2001) Congress on Evolutionary Computation , pp. 101-106
    • Shi, Y.1    Eberhart, R.2
  • 8
    • 0002345372 scopus 로고    scopus 로고
    • Cooperative learning in neural networks using particle swarm optimizers
    • Nov
    • F. van den Bergh and A. P. Engelbrecht, Cooperative learning in neural networks using particle swarm optimizers, South African Comput. J.,vol. 26, pp. 84-90, Nov. 2000.
    • (2000) South African Comput. J , vol.26 , pp. 84-90
    • van den Bergh, F.1    Engelbrecht, A.P.2
  • 9
    • 3142669892 scopus 로고    scopus 로고
    • On the Computation of All Global Minimizers Through Particle Swarm Optimization
    • Konstantinos E. Parsopoulos and Michael N. Vrahatis, On the Computation of All Global Minimizers Through Particle Swarm Optimization, IEEE Trans. Evol. Comput., vol. 8, no.3, p. 211-224, 2004.
    • (2004) IEEE Trans. Evol. Comput , vol.8 , Issue.3 , pp. 211-224
    • Parsopoulos, K.E.1    Vrahatis, M.N.2
  • 10
    • 3142756516 scopus 로고    scopus 로고
    • Handling Multiple Objectives With Particle Swarm Optimization
    • C. A. Coello, G. T. Pulido, and M. S. Lechuga, Handling Multiple Objectives With Particle Swarm Optimization, IEEE Trans. Evol. Comput., vol. 8, no.3, p. 256-279, 2004.
    • (2004) IEEE Trans. Evol. Comput , vol.8 , Issue.3 , pp. 256-279
    • Coello, C.A.1    Pulido, G.T.2    Lechuga, M.S.3
  • 11
    • 35248847445 scopus 로고    scopus 로고
    • A New Approach to Improve Particle Swarm Optimization
    • L.H. Zhang and S. Hu, A New Approach to Improve Particle Swarm Optimization, Lecture Notes in Computer Science, vol. 2723, p. 134-139, 2003.
    • (2003) Lecture Notes in Computer Science , vol.2723 , pp. 134-139
    • Zhang, L.H.1    Hu, S.2
  • 12
    • 0033666935 scopus 로고    scopus 로고
    • Comparing inertia weights and constriction factors in particle swarm optimization
    • IEEE Press
    • R. C. Eberhart and Y. Shi, "Comparing inertia weights and constriction factors in particle swarm optimization," in Proceedings of the 2000 Congress on Evolutionary Computation. IEEE Press, 2000, pp. 84-88
    • (2000) Proceedings of the 2000 Congress on Evolutionary Computation , pp. 84-88
    • Eberhart, R.C.1    Shi, Y.2
  • 16
    • 52149098243 scopus 로고    scopus 로고
    • L. S. Coelho, R. A. Krohling, Predictive controller tuning using modified particle swarm optimization based on Cauchy and Gaussian distributions, in Proceedings of the 8th On-Line World Conference on Soft Computing in Industrial Applications, WSC8, p. 254-257, 2003
    • L. S. Coelho, R. A. Krohling, "Predictive controller tuning using modified particle swarm optimization based on Cauchy and Gaussian distributions", in Proceedings of the 8th On-Line World Conference on Soft Computing in Industrial Applications, WSC8, p. 254-257, 2003
  • 17
    • 84947926042 scopus 로고    scopus 로고
    • K. Deb, S. Agrawal, A. Pratap and T. Meyarivan, A Fast Elitist Non-Dominated Sorting Genetic Algorithm for Multi-Objective Optimization: NSGA-II, Proceedings of Parallel Problem Solving from Nature-PPSN VI, Springer, p.849-858, 2000
    • K. Deb, S. Agrawal, A. Pratap and T. Meyarivan, A Fast Elitist Non-Dominated Sorting Genetic Algorithm for Multi-Objective Optimization: NSGA-II, Proceedings of Parallel Problem Solving from Nature-PPSN VI, Springer, p.849-858, 2000
  • 18
    • 84931472129 scopus 로고    scopus 로고
    • Controlled Elitist Non-Dominated Sorting Genetic Algorithms for Better Convergence
    • K. Deb and T. Goel, Controlled Elitist Non-Dominated Sorting Genetic Algorithms for Better Convergence, Lecture Notes in Computer Science, vol. 1993, p. 67-81, 2001.
    • (2001) Lecture Notes in Computer Science , vol.1993 , pp. 67-81
    • Deb, K.1    Goel, T.2
  • 19
    • 35248851524 scopus 로고    scopus 로고
    • X. Li, A Non-dominated Sorting Particle Swarm Optimizer for Muli-objective Optimization, Lecture Notes in Computer Science, 2723, p. 37-48, 2003
    • X. Li, A Non-dominated Sorting Particle Swarm Optimizer for Muli-objective Optimization, Lecture Notes in Computer Science, vol. 2723, p. 37-48, 2003
  • 21
    • 0033318858 scopus 로고    scopus 로고
    • Multiobjective evolutionary algorithms: A comparative case study and the strength Pareto approach
    • Nov
    • E. Zitzler and L. Thiele, "Multiobjective evolutionary algorithms: A comparative case study and the strength Pareto approach," IEEE Trans. Evol. Comput., vol. 3, pp. 257-271, Nov. 1999
    • (1999) IEEE Trans. Evol. Comput , vol.3 , pp. 257-271
    • Zitzler, E.1    Thiele, L.2
  • 22
    • 0035481747 scopus 로고    scopus 로고
    • A Systematic Neuro-fuzzy Modeling Framework with Application to Material Property Prediction
    • M-Y Chen and D. A. Linkens, A Systematic Neuro-fuzzy Modeling Framework with Application to Material Property Prediction, IEEE Transactions on Systems, Man and Cybernetics, Part B, 31(5), p. 781-790, 2001
    • (2001) IEEE Transactions on Systems, Man and Cybernetics, Part B , vol.31 , Issue.5 , pp. 781-790
    • Chen, M.-Y.1    Linkens, D.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.