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Evolutionary algorithms approach to the solution of mixed integer non-linear programming problems

Title
Evolutionary algorithms approach to the solution of mixed integer non-linear programming problems
Type
Article in International Scientific Journal
Year
2001
Authors
Costa, L
(Author)
Other
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oliveira, p
(Author)
Other
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Journal
Vol. 25
Pages: 257-266
ISSN: 0098-1354
Publisher: Elsevier
Other information
Authenticus ID: P-000-W3C
Abstract (EN): The global optimization of mixed integer non-linear problems (MINLP), constitutes a major area of research in many engineering applications. In this work, a comparison is made between an algorithm based on Simulated Annealing (M-SIMPSA) and two Evolutionary Algorithms: Genetic Algorithms (GAs) and Evolution Strategies (ESs). Results concerning the handling of constraints, through penalty functions, with and without penalty parameter setting, are also reported. Evolutionary Algorithms seem a valid approach to the optimization of non-linear problems. Evolution Strategies emerge as the best algorithm in most of the problems studied.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 10
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