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Volumn , Issue , 2008, Pages 176-181

On the estimation of the Pareto optimal set using an evolutionary parameter adjustment of the normal distribution function

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; FUNCTIONS; NORMAL DISTRIBUTION; OPTIMIZATION; PARETO PRINCIPLE; PROBABILITY DENSITY FUNCTION;

EID: 57849118321     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MICAI.2008.20     Document Type: Conference Paper
Times cited : (2)

References (12)
  • 1
    • 0036856506 scopus 로고    scopus 로고
    • Mutiobjective optimization with diversity preserving mixture-based iterated density estimation evolutionary algorithms
    • P. A. N. Bosnian and D. Thierens. Mutiobjective optimization with diversity preserving mixture-based iterated density estimation evolutionary algorithms. International journal of approximate reasoning, 31:259-289, 2002.
    • (2002) International journal of approximate reasoning , vol.31 , pp. 259-289
    • Bosnian, P.A.N.1    Thierens, D.2
  • 3
    • 40649128545 scopus 로고    scopus 로고
    • 20 Years of Evolutionary Multi-Objective Optimization: What Has Been Done and What Remains to be Done
    • C. A. Coello-Coello. 20 Years of Evolutionary Multi-Objective Optimization: What Has Been Done and What Remains to be Done. IEEE Computational Intelligence Society, 2006. pp. 73-88.
    • (2006) IEEE Computational Intelligence Society , pp. 73-88
    • Coello-Coello, C.A.1
  • 7
    • 57849096494 scopus 로고    scopus 로고
    • Descomposable problems, niching and scalability of mutiobjective estimation of distribution algorithms
    • 2005004, Illinois Genetic Algorithms Laboratory
    • K. Sastry, M. Pelikan, and D. E. Goldberg. Descomposable problems, niching and scalability of mutiobjective estimation of distribution algorithms. Technical Report IlliGAL Report no. 2005004, Illinois Genetic Algorithms Laboratory, 2005.
    • (2005) Technical Report IlliGAL Report no
    • Sastry, K.1    Pelikan, M.2    Goldberg, D.E.3
  • 9
    • 57049109162 scopus 로고    scopus 로고
    • Evonorm: Easy and effective implementation of estimation of distribution algorithms
    • L. M. Torres-Treviño. Evonorm: Easy and effective implementation of estimation of distribution algorithms. Research in Computing science, 23:75-83, 2006.
    • (2006) Research in Computing science , vol.23 , pp. 75-83
    • Torres-Treviño, L.M.1
  • 12
    • 0004140075 scopus 로고    scopus 로고
    • SPEA2: Improving the strength pareto evolutionary algorithm
    • Computer Engineering and Networks Laboratory TIK, ETH Zurich, Zurich, Switzerland
    • E. Zitzler, M. Laumanns, and L. Thiele. SPEA2: Improving the strength pareto evolutionary algorithm. Technical Report Technical Report 103, Computer Engineering and Networks Laboratory (TIK), ETH Zurich, Zurich, Switzerland, 2001.
    • (2001) Technical Report Technical Report , vol.103
    • Zitzler, E.1    Laumanns, M.2    Thiele, L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.