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Volumn , Issue , 2009, Pages 332-339

Online convergence detection for multiobjective aerodynamic applications

Author keywords

[No Author keywords available]

Indexed keywords

AERODYNAMIC APPLICATIONS; AIRCRAFT INDUSTRIES; CONVERGENCE DETECTION; GLOBAL PLAYERS; HIGH-QUALITY SOLUTIONS; INDUSTRY APPLICATIONS; MULTI OBJECTIVE; MULTI OBJECTIVE ALGORITHM; MULTI-OBJECTIVE OPTIMIZATION PROBLEM; MULTIOBJECTIVE EVOLUTIONARY OPTIMIZATION; OPTIMIZATION PROBLEMS; PARETO FRONT; PERFORMANCE INDICATORS; SMALL VARIATIONS; STATISTICAL TESTING; TEST CASE; TIME CONSTRAINTS;

EID: 70449863490     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2009.4982966     Document Type: Conference Paper
Times cited : (18)

References (18)
  • 2
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    • SMS-EMOA: Multiobjective selection based on dominated hypervolume
    • N. Beume, B. Naujoks, and M. Emmerich. SMS-EMOA: Multiobjective selection based on dominated hypervolume. European Journal of Operational Research, 181(3):1653-1669, 2007.
    • (2007) European Journal of Operational Research , vol.181 , Issue.3 , pp. 1653-1669
    • Beume, N.1    Naujoks, B.2    Emmerich, M.3
  • 4
    • 24344510174 scopus 로고    scopus 로고
    • Running performance metrics for evolutionary multi-objective optimization
    • K. Deb and S. Jain. Running performance metrics for evolutionary multi-objective optimization. In Simulated Evolution and Learning (SEAL), pages 13-20, 2002.
    • (2002) Simulated Evolution and Learning (SEAL) , pp. 13-20
    • Deb, K.1    Jain, S.2
  • 10
    • 33846971667 scopus 로고    scopus 로고
    • A summary-attainment-surface plotting method for visualizing the performance of stochastic multiobjective optimizers
    • IEEE Computer Society, Washington, DC
    • J. D. Knowles. A summary-attainment-surface plotting method for visualizing the performance of stochastic multiobjective optimizers. In Intelligent Systems Design and Applications (ISDA), pages 552-557. IEEE Computer Society, Washington, DC, 2005.
    • (2005) Intelligent Systems Design and Applications (ISDA) , pp. 552-557
    • Knowles, J.D.1
  • 11
    • 79955330141 scopus 로고    scopus 로고
    • A hybrid multi-objective optimization procedure using PCX based NSGA-II and sequential quadratic programming
    • Z. Michalewicz and R. G. Reynolds, editors, IEEE Press, Piscataway NJ
    • A. Kumar, D. Sharma, and K. Deb. A hybrid multi-objective optimization procedure using PCX based NSGA-II and sequential quadratic programming. In Z. Michalewicz and R. G. Reynolds, editors, Congress on Evolutionary Computation (CEC). IEEE Press, Piscataway NJ, 2007.
    • (2007) Congress on Evolutionary Computation (CEC)
    • Kumar, A.1    Sharma, D.2    Deb, K.3
  • 13
    • 60849124325 scopus 로고    scopus 로고
    • Reporting on experiments in evolutionary computation
    • Dortmund University, SFB 531
    • M. Preuß. Reporting on experiments in evolutionary computation. Technical Report CI 221/07, SFB 531, Dortmund University, 2007.
    • (2007) Technical Report CI 221/07
    • Preuß, M.1
  • 16
    • 56449092379 scopus 로고    scopus 로고
    • A convergence criterion for multiobjective evolutionary algorithms based on systematic statistical testing
    • G. Rudolph et al., editors, Springer, Berlin
    • H. Trautmann, U. Ligges, J. Mehnen, and M. Preuss. A convergence criterion for multiobjective evolutionary algorithms based on systematic statistical testing. In G. Rudolph et al., editors, Parallel Problem Solving from Nature (PPSN), pages 825-836. Springer, Berlin, 2008.
    • (2008) Parallel Problem Solving from Nature (PPSN) , pp. 825-836
    • Trautmann, H.1    Ligges, U.2    Mehnen, J.3    Preuss, M.4
  • 17
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    • OCD: Online convergence detection for evolutionary multi-objective algorithms based on statistical testing
    • Springer, Berlin, (in print)
    • T. Wagner, H. Trautmann, and B. Naujoks. OCD: Online Convergence Detection for Evolutionary Multi-Objective Algorithms Based on Statistical Testing. In Evolutionary Multi-Criterion Optimization (EMO 2009). Springer, Berlin, 2009. (in print).
    • (2009) Evolutionary Multi-Criterion Optimization (EMO 2009)
    • Wagner, T.1    Trautmann, H.2    Naujoks, B.3
  • 18
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    • SPAM: Set preference algorithm for multiobjective optimization
    • G. Rudolph et al., editors, Springer, Berlin
    • E. Zitzler, L. Thiele, and J. Bader. SPAM: Set preference algorithm for multiobjective optimization. In G. Rudolph et al., editors, Parallel Problem Solving from Nature (PPSN), pages 847-858. Springer, Berlin, 2008.
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    • Zitzler, E.1    Thiele, L.2    Bader, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.