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Volumn 23, Issue 7, 1999, Pages 955-973

Use of evolutionary algorithms for the calculation of group contribution parameters in order to predict thermodynamic properties: Part 2: Encapsulated evolution strategies

Author keywords

Encapsulated evolution strategies; Evolutionary algorithms; Nonlinear regression; Parameter optimization; Thermodynamic model

Indexed keywords

ALGORITHMS; FUNCTIONS; MATHEMATICAL MODELS; OPTIMIZATION; PROBLEM SOLVING; REGRESSION ANALYSIS;

EID: 0033168839     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0098-1354(99)00270-7     Document Type: Article
Times cited : (4)

References (23)
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    • Gauss-Newton, C.F.1
  • 6
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    • Encapsulated evolution strategies for the determination of group contribution model parameters in order to predict thermodynamic properties
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    • Geyer H., Ulbig P., Schulz S. Encapsulated evolution strategies for the determination of group contribution model parameters in order to predict thermodynamic properties. Eiben A. E., Bäck T., Schoenauer M., Schwefel H. P. Parallel problem solving from nature. 5:1998;978-987 Springer, Amsterdam.
    • (1998) Parallel Problem Solving from Nature , vol.5 , pp. 978-987
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    • (1999) In Proceedings of the 6th Fuzzy Days
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    • Global optimization by means of distributed evolution strategies
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.