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Volumn 17, Issue 3, 2009, Pages 379-409

Localization for solving noisy multi-objective optimization problems

Author keywords

Local models; Localization; Noisy multi objective optimization

Indexed keywords

ALGORITHM; ARTICLE; STATISTICAL ANALYSIS; STATISTICAL MODEL;

EID: 70349614180     PISSN: 10636560     EISSN: 15309304     Source Type: Journal    
DOI: 10.1162/evco.2009.17.3.379     Document Type: Article
Times cited : (14)

References (35)
  • 1
    • 0034876065 scopus 로고    scopus 로고
    • PDE: A Pareto frontier differential evolution approach for multiobjective optimization problems
    • Seoul, Korea
    • Abbass, H. A., Sarker, R., and Newton, C. (2001). PDE: A Pareto frontier differential evolution approach for multiobjective optimization problems. In Proceedings of the Congress on Evolutionary Computation, Vol. 2, pp. 971-978, Seoul, Korea.
    • (2001) Proceedings of the Congress on Evolutionary Computation , vol.2 , pp. 971-978
    • Abbass, H.A.1    Sarker, R.2    Newton, C.3
  • 4
    • 0033737186 scopus 로고    scopus 로고
    • Evolutionary algorithms in noisy environments: Theoretical issues and guide-lines for practice
    • Beyer, H.-G. (2000). Evolutionary algorithms in noisy environments: Theoretical issues and guide-lines for practice. Computer Methods in Applied Mechanics and Engineering, 186(2-4):239-267.
    • (2000) Computer Methods in Applied Mechanics and Engineering , vol.186 , Issue.2-4 , pp. 239-267
    • Beyer, H.-G.1
  • 7
    • 58149488003 scopus 로고    scopus 로고
    • Local models: An approach to distributed multi-objective optimization
    • Bui, L. T., Abbass, H. A., and Essam, D. (2009a). Local models: An approach to distributed multi-objective optimization. Computational Optimization and Applications, 42(1):105-139.
    • (2009) Computational Optimization and Applications , vol.42 , Issue.1 , pp. 105-139
    • Bui, L.T.1    Abbass, H.A.2    Essam, D.3
  • 8
    • 70349615901 scopus 로고    scopus 로고
    • Localization for solving noisy multi-objective optimization problems
    • The Artificial Life and Adaptive Robotics Laboratory, School of ITEE, UNSW@ADFA, Australia
    • Bui, L. T., Abbass, H. A., and Essam, D. (2009b). Localization for solving noisy multi-objective optimization problems. Technical Report 200901001, The Artificial Life and Adaptive Robotics Laboratory, School of ITEE, UNSW@ADFA, Australia.
    • (2009) Technical Report 200901001
    • Bui, L.T.1    Abbass, H.A.2    Essam, D.3
  • 10
    • 38849209242 scopus 로고    scopus 로고
    • Interleaving guidance in evolutionary multi-objective optimization by localization
    • Bui, L. T., Deb, K., Abbass, H. A., and Essam, D. (2008). Interleaving guidance in evolutionary multi-objective optimization by localization. Journal of Computer Science and Technology, 23(1):44-66.
    • (2008) Journal of Computer Science and Technology , vol.23 , Issue.1 , pp. 44-66
    • Bui, L.T.1    Deb, K.2    Abbass, H.A.3    Essam, D.4
  • 15
    • 0002284602 scopus 로고
    • An investigation of niche and species formation in genetic function optimization
    • San Mateo, CA: Morgan Kaufmann
    • Deb, K., and Goldberg, D. E. (1989). An investigation of niche and species formation in genetic function optimization. Proceedings of the Third International Conference on Genetic Algorithms, pp. 42-50. San Mateo, CA: Morgan Kaufmann.
    • (1989) Proceedings of the Third International Conference on Genetic Algorithms , pp. 42-50
    • Deb, K.1    Goldberg, D.E.2
  • 16
    • 24344452538 scopus 로고    scopus 로고
    • Searching for robust Pareto-optimal solutions in multi-objective optimization
    • Deb, K., and Gupta, H. (2005). Searching for robust Pareto-optimal solutions in multi-objective optimization. In EMO, LNCS, pp. 150-164.
    • (2005) EMO, LNCS , pp. 150-164
    • Deb, K.1    Gupta, H.2
  • 18
    • 0034863568 scopus 로고    scopus 로고
    • Particle swarm optimization: Developments, applications and resources
    • In, Piscataway, NJ: IEEE Press
    • Eberhart, R. C., and Shi, Y. (2001). Particle swarm optimization: Developments, applications and resources. In Proceedings of the Congress on Evolutionary Computation. Piscataway, NJ: IEEE Press.
    • (2001) Proceedings of the Congress on Evolutionary Computation
    • Eberhart, R.C.1    Shi, Y.2
  • 21
    • 37449006917 scopus 로고    scopus 로고
    • An empirical study on similarity-based mating for evolutionary multiobjective combinatorial optimization
    • Ishibuchi, H., Narukawa, K., Tsukamoto, N., and Nojima, Y. (2008). An empirical study on similarity-based mating for evolutionary multiobjective combinatorial optimization. European Journal of Operational Research, 188(1):57-75.
    • (2008) European Journal of Operational Research , vol.188 , Issue.1 , pp. 57-75
    • Ishibuchi, H.1    Narukawa, K.2    Tsukamoto, N.3    Nojima, Y.4
  • 25
    • 0007943381 scopus 로고    scopus 로고
    • PhD thesis, Department of Computer Science, University of Illinois at Urbana-Champaign
    • Miller, B. (1997). Noise, sampling, and efficient genetic algorithms. PhD thesis, Department of Computer Science, University of Illinois at Urbana-Champaign.
    • (1997) Noise, sampling, and efficient genetic algorithms
    • Miller, B.1
  • 27
    • 0344291226 scopus 로고    scopus 로고
    • Recent approaches to global optimization problems through particle swarm optimization
    • Parsopoulos, K., and Vrahatis, M. N. (2002). Recent approaches to global optimization problems through particle swarm optimization. Natural Computing, 1(2-3):235-306.
    • (2002) Natural Computing , vol.1 , Issue.2-3 , pp. 235-306
    • Parsopoulos, K.1    Vrahatis, M.N.2
  • 28
    • 7744229939 scopus 로고    scopus 로고
    • Local function approximation in evolutionary algorithms for optimization of costly functions
    • Regis, R. G., and Shoemaker, C. A. (2004). Local function approximation in evolutionary algorithms for optimization of costly functions. IEEE Transactions on Evolutionary Computation, 8(5):490-505.
    • (2004) IEEE Transactions on Evolutionary Computation , vol.8 , Issue.5 , pp. 490-505
    • Regis, R.G.1    Shoemaker, C.A.2
  • 30
    • 0035694098 scopus 로고    scopus 로고
    • Evolutionary algorithms with dynamic population size and local exploration for multiobjective optimization
    • Tan, K., Lee, T., and Khor, E. (2001). Evolutionary algorithms with dynamic population size and local exploration for multiobjective optimization. IEEE Transactions on Evolutionary Computation, 5(6):565-588.
    • (2001) IEEE Transactions on Evolutionary Computation , vol.5 , Issue.6 , pp. 565-588
    • Tan, K.1    Lee, T.2    Khor, E.3
  • 32
    • 0008945403 scopus 로고
    • On the sympatric origin of species: Mercurial mating in the quicksilver model
    • Todd, P. M., and Miller, G. F. (1991). On the sympatric origin of species: Mercurial mating in the quicksilver model. In ICGA, pp. 547-554.
    • (1991) In ICGA , pp. 547-554
    • Todd, P.M.1    Miller, G.F.2
  • 34
    • 0033318858 scopus 로고    scopus 로고
    • Multiobjective evolutionary algorithms: A comparative case study and the strength Pareto approach
    • Zitzler, E., and Thiele, L. (1999). Multiobjective evolutionary algorithms: A comparative case study and the strength Pareto approach. IEEE Transactions on Evolutionary Computation, 3(4):257-271.
    • (1999) IEEE Transactions on Evolutionary Computation , vol.3 , Issue.4 , pp. 257-271
    • Zitzler, E.1    Thiele, L.2
  • 35
    • 0034199979 scopus 로고    scopus 로고
    • Comparision of multiobjective evolutionary algorithms: Emprical results
    • Zitzler, E., Thiele, L., and Deb, K. (2000). Comparision of multiobjective evolutionary algorithms: Emprical results. Evolutionary Computation, 8(1):173-195.
    • (2000) Evolutionary Computation , vol.8 , Issue.1 , pp. 173-195
    • Zitzler, E.1    Thiele, L.2    Deb, K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.