Nonlinear least square regression by adaptive domain method with multiple genetic algorithms

IEEE Transactions on Evolutionary Computation

Volumn 11, Issue 1, 2007, Pages 1-16

  Tomioka, Satoshi ^a   Nisiyama, Shusuke ^a   Enoto, Takeaki ^a  

^a HOKKAIDO UNIVERSITY   (Japan)

Author keywords

Adaptive domain; Convergence; Multimodal problem; Nonlinear least square (LS) regression; Real coded genetic algorithm (GA); Reliability

Indexed keywords

CONVERGENCE OF NUMERICAL METHODS; ITERATIVE METHODS; LEAST SQUARES APPROXIMATIONS; NONLINEAR ANALYSIS; OPTIMIZATION; REGRESSION ANALYSIS; RELIABILITY ANALYSIS;

ADAPTIVE DOMAIN METHOD; MULTIMODAL PROBLEM; NONLINEAR LEAST SQUARE REGRESSION; REAL-CODED GENETIC ALGORITHM (GA);

GENETIC ALGORITHMS;

EID: 33947218478     PISSN: 1089778X     EISSN: None     Source Type: Journal    
DOI: 10.1109/TEVC.2006.876363     Document Type: Article

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