Solving mixed-integer nonlinear programming problems using improved genetic algorithms

This paper proposes a method for solving mixed-integer nonlinear programming problems to achieve or approach the optimal solution by using modified genetic algorithms. The representation scheme covers both integer and real variables for solving mixed-integer nonlinear programming, nonlinear programm...

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Bibliographic Details

Published in:	The Korean journal of chemical engineering Vol. 28; no. 1; pp. 32 - 40
Main Authors:	Wasanapradit, Tawan, Mukdasanit, Nalinee, Chaiyaratana, Nachol, Srinophakun, Thongchai
Format:	Journal Article
Language:	English
Published:	Boston Springer US 01.01.2011 한국화학공학회
Subjects:	Biotechnology Catalysis Chemistry Chemistry and Materials Science Industrial Chemistry/Chemical Engineering Materials Science 화학공학 Mixed Integer Nonlinear Programming CPSS Modified Genetic Algorithms Genetic Algorithms Repairing Strategy
ISSN:	0256-1115, 1975-7220
Online Access:	Get full text
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