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Volumn 16, Issue 9, 2001, Pages 1069-1083

A comparison of active set method and genetic algorithm approaches for learning weighting vectors in some aggregation operators

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; GENETIC ALGORITHMS; MATRIX ALGEBRA; PROBABILITY DISTRIBUTIONS; SENSOR DATA FUSION; SET THEORY; VECTORS;

EID: 0035448529     PISSN: 08848173     EISSN: None     Source Type: Journal    
DOI: 10.1002/int.1050     Document Type: Article
Times cited : (28)

References (31)
  • 2
    • 0023855863 scopus 로고
    • On ordered weighted averaging aggregation operators in multi-criteria decision making
    • (1988) IEEE Trans SMC , vol.18 , pp. 183-190
    • Yager, R.R.1
  • 11
    • 4243961908 scopus 로고    scopus 로고
    • Determination of weights of interacting criteria from a reference set
    • Papiers de Recherche, Faculté d'Economie de Gestion et de Sciences Sociales, Groupe d'Etude des Mathématiques du Management et de l'Economie, N. 9909
    • (1999)
    • Marichal, J.-L.1    Roubens, M.2
  • 16
    • 0003502414 scopus 로고
    • Evolutionsstrategie: Optimierung technischer systeme nach prinzipien der biologischen evolution
    • Stuttgart: Frommann-Holzboog
    • (1973)
    • Rechenberg, I.1
  • 21
    • 0003724513 scopus 로고
    • Genetic programming: A paradigm for genetically breeding populations of computer programs to solve problems
    • Report No. STAN-CS-90-1314, Stanford University
    • (1990)
    • Koza, J.R.1
  • 27
    • 0003540748 scopus 로고    scopus 로고
    • Genetic algorithms + data structures = evolution programs
    • 3rd Edition. Berlin: Springer
    • (1996)
    • Michalewicz, Z.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.