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Volumn 40, Issue 6, 2008, Pages 60-71

Genetic algorithm for solving the problem of an optimum regression model construction as a discrete optimization problem

Author keywords

Discrete optimization; Genetic algorithm; Input; Output variables; Regression model

Indexed keywords

COMPLEX SYSTEMS; CONSTRUCTION PROBLEMS; DISCRETE OPTIMIZATION; HEURISTIC SEARCH; INDEPENDENT VARIABLES; MODEL QUALITIES; REGRESSION MODELLING; SEARCH PROBLEMS; SHORTEST PATH (SP);

EID: 46749120176     PISSN: 10642315     EISSN: None     Source Type: Journal    
DOI: 10.1615/JAutomatInfScien.v40.i6.60     Document Type: Article
Times cited : (3)

References (8)
  • 6
    • 46749099671 scopus 로고    scopus 로고
    • Melnik I.M., Genetic method of structural and parametric identification of complex system regression model, Mat. XIV Mezhdunar. konf.po avtomaticheskomu upravleniyu (Avtomatika-2007), Sevastopol, 10-14 Sent. 2007, Ch.1, Sevastopol, natsionalnyi universitet yademoy energii i promyshlennosti, 2007, 80-82.
    • Melnik I.M., Genetic method of structural and parametric identification of complex system regression model, Mat. XIV Mezhdunar. konf.po avtomaticheskomu upravleniyu (Avtomatika-2007), Sevastopol, 10-14 Sent. 2007, Ch.1, Sevastopol, natsionalnyi universitet yademoy energii i promyshlennosti, 2007, 80-82.
  • 7
    • 46749090319 scopus 로고
    • On methods of stochastic programming with a finite number of testings
    • Ermolyev Yu.M., Melnik I.M., On methods of stochastic programming with a finite number of testings, Kibernetika, 1974, No. 4, 82-84.
    • (1974) Kibernetika , Issue.4 , pp. 82-84
    • Ermolyev, Y.M.1    Melnik, I.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.