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Volumn , Issue , 2007, Pages 2835-2842

A cumulative evidential stopping criterion for multiobjective optimization evolutionary algorithms

Author keywords

MOEAs; Multiobjective optimization evolutionary algorithms; Stopping criterion

Indexed keywords

BAYESIAN NETWORKS; ITERATIVE METHODS; MULTIOBJECTIVE OPTIMIZATION; PARETO PRINCIPLE;

EID: 34548108070     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1274000.1274053     Document Type: Conference Paper
Times cited : (24)

References (16)
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    • K. Deb, L. Thiele, M. Laumanns, and E. Zitzler. Scalable Test Problems for Evolutionary Multi-Objective Optimization. Technical Report 112, Computer Engineering and Networks Laboratory (TIK), Swiss Federal Institute of Technology (ETH), Zurich, Switzerland, 2001.
    • (2001)
    • Deb, K.1    Thiele, L.2    Laumanns, M.3    Zitzler, E.4
  • 8
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    • V. Khare. Performance Scaling of Multi-Objective Evolutionary Algorithms. Master's thesis, School of Computer Science, The University of Birmingham, Edgbaston, Birmingan, UK, September 2002.
    • V. Khare. Performance Scaling of Multi-Objective Evolutionary Algorithms. Master's thesis, School of Computer Science, The University of Birmingham, Edgbaston, Birmingan, UK, September 2002.
  • 9
    • 35248887077 scopus 로고    scopus 로고
    • Performance Scaling of Multi-objective Evolutionary Algorithms
    • C. M. Fonseca, P. J. Fleming, E. Zitzler, K. Deb, and L. Thiele, editors, Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, Faro, Portugal, April, Springer
    • V. Khare, X. Yao, and K. Deb. Performance Scaling of Multi-objective Evolutionary Algorithms. In C. M. Fonseca, P. J. Fleming, E. Zitzler, K. Deb, and L. Thiele, editors, Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pages 376-390, Faro, Portugal, April 2003. Springer. Lecture Notes in Computer Science. Volume 2632.
    • (2003) Lecture Notes in Computer Science , vol.2632 , pp. 376-390
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  • 10
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    • Stochastic models, estimation, and control
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    • Maybeck, P.S.1
  • 12
    • 0004200314 scopus 로고
    • Multiobjective optimization using nondominated sorting in genetic algorithms
    • Technical report, Department of Mechanical Engineering, Indian Institute of Technology, Kanpur, India
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    • (1993)
    • Srinivas, N.1    Deb, K.2
  • 13
    • 0000852513 scopus 로고
    • Multiobjective Optimization Using Nondominated Sorting in Genetic Algorithms
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    • N. Srinivas and K. Deb. Multiobjective Optimization Using Nondominated Sorting in Genetic Algorithms. Evolutionary Computation, 2(3):221-248, Fall 1994.
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  • 14
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    • E. Zitzler, M. Laumanns, and L. Thiele. SPEA2: Improving the Strength Pareto Evolutionary Algorithm. Technical Report 103, Computer Engineering and Networks Laboratory (TIK), Swiss Federal Institute of Technology (ETH) Zurich, Gloriastrasse 35, CH-8092 Zurich, Switzerland, May 2001.
    • E. Zitzler, M. Laumanns, and L. Thiele. SPEA2: Improving the Strength Pareto Evolutionary Algorithm. Technical Report 103, Computer Engineering and Networks Laboratory (TIK), Swiss Federal Institute of Technology (ETH) Zurich, Gloriastrasse 35, CH-8092 Zurich, Switzerland, May 2001.
  • 16
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.