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Volumn 3907 LNCS, Issue , 2006, Pages 727-739

A preliminary study on handling uncertainty in indicator-based multiobjective optimization

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; COMPUTER SIMULATION; DATA HANDLING; MATHEMATICAL MODELS; OPTIMIZATION; PARAMETER ESTIMATION; PARETO PRINCIPLE; PROBABILITY DISTRIBUTIONS; PROBLEM SOLVING; STOCHASTIC PROGRAMMING;

EID: 33745782034     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11732242_71     Document Type: Conference Paper
Times cited : (36)

References (14)
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  • 3
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    • A comparison of evolution strategies with other direct search methods in the presence of noise
    • Arnold, D.V.: A comparison of evolution strategies with other direct search methods in the presence of noise. Computational Optimization and Applications 24 (2003) 135-159
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    • Arnold, D.V.1
  • 4
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    • Multiobjective optimization using the niched pareto genetic algorithm
    • University of Illinois, Urbana-Champaign, Urbana, Illinois, USA
    • Horn, J., Nafpliotis, N.: Multiobjective optimization using the niched pareto genetic algorithm. Technical report, University of Illinois, Urbana-Champaign, Urbana, Illinois, USA (1993)
    • (1993) Technical Report
    • Horn, J.1    Nafpliotis, N.2
  • 6
    • 84931301090 scopus 로고    scopus 로고
    • Pareto-front exploration with uncertain objectives
    • Conference on Evolutionary Multi-Criterion Optimization (EMO'01).
    • Teich, J.: Pareto-front exploration with uncertain objectives. In: Conference on Evolutionary Multi-Criterion Optimization (EMO'01). Volume 1993 of Lecture Notes in Computer Science (LNCS). (2001) 314-328
    • (2001) Lecture Notes in Computer Science (LNCS) , vol.1993 , pp. 314-328
    • Teich, J.1
  • 7
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    • A modified NSGA-II to solve noisy multiobjective problems
    • et al., E.G., ed.: Genetic and Evolutionary Computation Conference (GECCO'2003), late breaking papers. Chicago, Illinois, USA, Springer
    • Babbar, M., Lakshmikantha, A., Goldberg, D.E.: A modified NSGA-II to solve noisy multiobjective problems. In et al., E.G., ed.: Genetic and Evolutionary Computation Conference (GECCO'2003), late breaking papers. Volume 2723 of Lecture Notes in Computer Science., Chicago, Illinois, USA, Springer (2003) 21-27
    • (2003) Lecture Notes in Computer Science , vol.2723 , pp. 21-27
    • Babbar, M.1    Lakshmikantha, A.2    Goldberg, D.E.3
  • 8
    • 24344452538 scopus 로고    scopus 로고
    • Searching for robust pareto-optimal solutions in multiobjective optimization
    • Coello Coello, C.A., Aguirre, A.H., Zitzler, E., eds.: Conference on Evolutionary Multi-Criterion Optimization (EMO'05). Guanajuato, Mexico, Springer-Verlag
    • Deb, K., Gupta, H.: Searching for robust pareto-optimal solutions in multiobjective optimization. In Coello Coello, C.A., Aguirre, A.H., Zitzler, E., eds.: Conference on Evolutionary Multi-Criterion Optimization (EMO'05). Volume 3410 of Lecture Notes in Computer Science (LNCS)., Guanajuato, Mexico, Springer-Verlag (2005) 150-164
    • (2005) Lecture Notes in Computer Science (LNCS) , vol.3410 , pp. 150-164
    • Deb, K.1    Gupta, H.2
  • 10
    • 0034199979 scopus 로고    scopus 로고
    • Comparison of multiobjective evolutionary algorithms: Empirical results
    • Zitzler, E., Deb, K., Thiele, L.: Comparison of multiobjective evolutionary algorithms: Empirical results. Evolutionary Computation 8 (2000) 173-195
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    • Scalable test problems for evolutionary multi-objective optimization
    • Technical report, Computer Engineering and Networks Laboratory (TIK), Swiss Federal Institute of Technology (ETH), Zurich
    • Deb, K., Thiele, L., Laumanns, M., Zitzler, E.: Scalable test problems for evolutionary multi-objective optimization. Technical report, TIK Report Nr. 112, Computer Engineering and Networks Laboratory (TIK), Swiss Federal Institute of Technology (ETH), Zurich (2001)
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    • A tutorial on the performance assessment of stochastive multiobjective optimizers
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    • Knowles, J.D., Thiele, L., Zitzler, E.: A tutorial on the performance assessment of stochastive multiobjective optimizers. Technical Report TIK-Report No. 214, Computer Engineering and Networks Laboratory, ETH Zurich (2005)
    • (2005) Technical Report TIK-report No. 214 , vol.214
    • Knowles, J.D.1    Thiele, L.2    Zitzler, E.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.