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Volumn 143, Issue , 2008, Pages 139-154

Constrained optimization by ε constrained differential evolution with dynamic ε-level control

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EID: 51649110161     PISSN: 1860949X     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-540-68830-3_5     Document Type: Article
Times cited : (29)

References (29)
  • 1
    • 0002511908 scopus 로고
    • A survey of constraint handling techniques in evolutionary computation methods
    • MIT Press, Cambridge
    • Michalewicz, Z.: A survey of constraint handling techniques in evolutionary computation methods. In: Proceedings of the 4th Annual Conference on Evolutionary Programming, pp. 135-155. MIT Press, Cambridge (1995)
    • (1995) Proceedings of the 4th Annual Conference on Evolutionary Programming , pp. 135-155
    • Michalewicz, Z.1
  • 2
    • 84901406150 scopus 로고    scopus 로고
    • A comparison of constraint-handling methods for the application of particle swarm optimization to constrained nonlinear optimization problems
    • Canberra, Australia, pp
    • Coath, G., Halgamuge, S.K.: A comparison of constraint-handling methods for the application of particle swarm optimization to constrained nonlinear optimization problems. In: Proc. of IEEE Congress on Evolutionary Computation, Canberra, Australia, pp. 2419-2425 (2003)
    • (2003) Proc. of IEEE Congress on Evolutionary Computation , pp. 2419-2425
    • Coath, G.1    Halgamuge, S.K.2
  • 4
    • 51649122463 scopus 로고    scopus 로고
    • Parsopoulos, K.E., Vrahatis, M.N.: Particle swarm optimization method for constrained optimization problems. In: Sincak, P., Vascak, J., et al. (eds.) Intelligent Technologies - Theory and Application: New Trends in Intelligent Technologies. Frontiers in Artificial Intelligence and Applications, 76, pp. 214-220. IOS Press, Amsterdam (2002)
    • Parsopoulos, K.E., Vrahatis, M.N.: Particle swarm optimization method for constrained optimization problems. In: Sincak, P., Vascak, J., et al. (eds.) Intelligent Technologies - Theory and Application: New Trends in Intelligent Technologies. Frontiers in Artificial Intelligence and Applications, vol. 76, pp. 214-220. IOS Press, Amsterdam (2002)
  • 6
    • 0033713642 scopus 로고    scopus 로고
    • Tuning fuzzy control rules by the α constrained method which solves constrained nonlinear optimization problems. Electronics and Communications in Japan, Part 3: Fundamental Electronic
    • Takahama, T., Sakai, S.: Tuning fuzzy control rules by the α constrained method which solves constrained nonlinear optimization problems. Electronics and Communications in Japan, Part 3: Fundamental Electronic Science 83(9), 1-12 (2000)
    • (2000) Science , vol.83 , Issue.9 , pp. 1-12
    • Takahama, T.1    Sakai, S.2
  • 8
    • 0033729054 scopus 로고    scopus 로고
    • An efficient constraint handling method for genetic algorithms
    • Deb, K.: An efficient constraint handling method for genetic algorithms. Computer Methods in Applied Mechanics and Engineering 186(2/4), 311-338 (2000)
    • (2000) Computer Methods in Applied Mechanics and Engineering , vol.186 , Issue.2-4 , pp. 311-338
    • Deb, K.1
  • 10
    • 51649083480 scopus 로고    scopus 로고
    • Camponogara, E., Talukdar, S.N.: A genetic algorithm for constrained and multiobjective optimization. In: Alander, J.T. (ed.) 3rd Nordic Workshop on Genetic Algorithms and Their Applications (3NWGA), August 1997, pp. 49-62. University of Vaasa, Vaasa, Finland (1997)
    • Camponogara, E., Talukdar, S.N.: A genetic algorithm for constrained and multiobjective optimization. In: Alander, J.T. (ed.) 3rd Nordic Workshop on Genetic Algorithms and Their Applications (3NWGA), August 1997, pp. 49-62. University of Vaasa, Vaasa, Finland (1997)
  • 11
    • 0031534728 scopus 로고    scopus 로고
    • The COMOGA method: Constrained optimisation by multiobjective genetic algorithms
    • Surry, P.D., Radcliffe, N.J.: The COMOGA method: Constrained optimisation by multiobjective genetic algorithms. Control and Cybernetics 26(3), 391-412 (1997)
    • (1997) Control and Cybernetics , vol.26 , Issue.3 , pp. 391-412
    • Surry, P.D.1    Radcliffe, N.J.2
  • 12
    • 3843073724 scopus 로고    scopus 로고
    • An intelligent information sharing strategy within a swarm for unconstrained and constrained optimization problems
    • Ray, T., Liew, K.M., Saini, P.: An intelligent information sharing strategy within a swarm for unconstrained and constrained optimization problems. Soft Computing - A Fusion of Foundations, Methodologies and Applications 6(1), 38-44 (2002)
    • (2002) Soft Computing - A Fusion of Foundations, Methodologies and Applications , vol.6 , Issue.1 , pp. 38-44
    • Ray, T.1    Liew, K.M.2    Saini, P.3
  • 14
    • 0038528486 scopus 로고    scopus 로고
    • Learning fuzzy control rules by α-constrained simplex method
    • Takahama, T., Sakai, S.: Learning fuzzy control rules by α-constrained simplex method. Systems and Computers in Japan 34(6), 80-90 (2003)
    • (2003) Systems and Computers in Japan , vol.34 , Issue.6 , pp. 80-90
    • Takahama, T.1    Sakai, S.2
  • 15
    • 27344446970 scopus 로고    scopus 로고
    • Constrained optimization by applying the α constrained method to the nonlinear simplex method with mutations
    • Takahama, T., Sakai, S.: Constrained optimization by applying the α constrained method to the nonlinear simplex method with mutations. IEEE Transactions on Evolutionary Computation 9(5), 437-451 (2005)
    • (2005) IEEE Transactions on Evolutionary Computation , vol.9 , Issue.5 , pp. 437-451
    • Takahama, T.1    Sakai, S.2
  • 17
    • 2342439894 scopus 로고    scopus 로고
    • Constrained optimization by α constrained genetic algorithm (αGA)
    • Takahama, T., Sakai, S.: Constrained optimization by α constrained genetic algorithm (αGA). Systems and Computers in Japan 35(5), 11-22 (2004)
    • (2004) Systems and Computers in Japan , vol.35 , Issue.5 , pp. 11-22
    • Takahama, T.1    Sakai, S.2
  • 19
    • 33745618469 scopus 로고    scopus 로고
    • Takahama, T., Sakai, S., Iwane, N.: Constrained optimization by the ε constrained hybrid algorithm of particle swarm optimization and genetic algorithm. In: Zhang, S., Jarvis, R. (eds.) AI 2005. LNCS (LNAI), 3809, pp. 389-400. Springer, Heidelberg (2005)
    • Takahama, T., Sakai, S., Iwane, N.: Constrained optimization by the ε constrained hybrid algorithm of particle swarm optimization and genetic algorithm. In: Zhang, S., Jarvis, R. (eds.) AI 2005. LNCS (LNAI), vol. 3809, pp. 389-400. Springer, Heidelberg (2005)
  • 20
    • 42749104579 scopus 로고    scopus 로고
    • Takahama, T., Sakai, S.: Solving constrained optimization problems by the ε constrained particle swarm optimizer with adaptive velocity limit control. In: Proc. of the 2nd IEEE International Conference on Cybernetics & Intelligent Systems, June 2006, pp. 683-689 (2006)
    • Takahama, T., Sakai, S.: Solving constrained optimization problems by the ε constrained particle swarm optimizer with adaptive velocity limit control. In: Proc. of the 2nd IEEE International Conference on Cybernetics & Intelligent Systems, June 2006, pp. 683-689 (2006)
  • 21
    • 51649087927 scopus 로고    scopus 로고
    • Constrained optimization by the ε constrained genetic algorithm
    • Takahama, T., Sakai, S.: Constrained optimization by the ε constrained genetic algorithm. IPSJ Journal 47(6), 1861-1871 (2006)
    • (2006) IPSJ Journal , vol.47 , Issue.6 , pp. 1861-1871
    • Takahama, T.1    Sakai, S.2
  • 22
    • 34548136637 scopus 로고    scopus 로고
    • Solving nonlinear constrained optimization problems by the ∈ constrained differential evolution
    • Man, and Cybernetics, October
    • Takahama, T., Sakai, S., Iwane, N.: Solving nonlinear constrained optimization problems by the ∈ constrained differential evolution. In: Proc. of the 2006 IEEE Conference on Systems, Man, and Cybernetics, October 2006, pp. 2322-2327 (2006)
    • (2006) Proc. of the 2006 IEEE Conference on Systems , pp. 2322-2327
    • Takahama, T.1    Sakai, S.2    Iwane, N.3
  • 23
    • 34547269606 scopus 로고    scopus 로고
    • Takahama, T., Sakai, S.: Constrained optimization by the εs constrained differential evolution with gradient-based mutation and feasible elites. In: Proc. of 2006 IEEE Congress on Evolutionary Computation, July 2006, pp. 308-315 (2006)
    • Takahama, T., Sakai, S.: Constrained optimization by the εs constrained differential evolution with gradient-based mutation and feasible elites. In: Proc. of 2006 IEEE Congress on Evolutionary Computation, July 2006, pp. 308-315 (2006)
  • 25
    • 0142000477 scopus 로고    scopus 로고
    • Differential evolution - a simple and efficient heuristic for global optimization over continuous spaces
    • Storn, R., Price, K.: Differential evolution - a simple and efficient heuristic for global optimization over continuous spaces. Journal of Global Optimization 11, 341-359 (1997)
    • (1997) Journal of Global Optimization , vol.11 , pp. 341-359
    • Storn, R.1    Price, K.2
  • 26
    • 14844307657 scopus 로고    scopus 로고
    • A simple multimembered evolution strategy to solve constrained optimization problems
    • Mezura-Montes, E., Coello, C.A.C.: A simple multimembered evolution strategy to solve constrained optimization problems. IEEE Trans. on Evolutionary Computation 9(1), 1-17 (2005)
    • (2005) IEEE Trans. on Evolutionary Computation , vol.9 , Issue.1 , pp. 1-17
    • Mezura-Montes, E.1    Coello, C.A.C.2
  • 27
    • 0001128760 scopus 로고    scopus 로고
    • A note on usefullness of geometrical-crossover of numerical optimization problems
    • Fogel, L.J, Angeline, P.J, Bäck, T, eds, MIT Press, Cambridge
    • Mchalewicz, Z., Nazhiyath, G., Michalewicz, M.: A note on usefullness of geometrical-crossover of numerical optimization problems. In: Fogel, L.J., Angeline, P.J., Bäck, T. (eds.) Proc. 5th Annual Conference on Evolutionary Programming, pp. 305-312. MIT Press, Cambridge (1996)
    • (1996) Proc. 5th Annual Conference on Evolutionary Programming , pp. 305-312
    • Mchalewicz, Z.1    Nazhiyath, G.2    Michalewicz, M.3
  • 29
    • 0033094194 scopus 로고    scopus 로고
    • Evolutionary algorithms, homomorphous mappings, and constrained parameter optimization
    • Koziel, S., Michalewicz, Z.: Evolutionary algorithms, homomorphous mappings, and constrained parameter optimization. Evolutionary Computation 7(1), 19-44 (1999)
    • (1999) Evolutionary Computation , vol.7 , Issue.1 , pp. 19-44
    • Koziel, S.1    Michalewicz, Z.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.