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

• Tipo: Artigo em Revista Científica Internacional
• Data: 2001

Autores

Costa, L (Autor) Outra; oliveira, p (Autor) Outra

Revista

Título: Computers and Chemical Engineering

Vol. 25

Páginas: 257-266

ISSN: 0098-1354

Editora: Elsevier

Indexação

ISI Web of Knowledge - 135 Citações

Scopus - 175 Citações

Outras Informações

ID Authenticus: P-000-W3C

DOI: 10.1016/s0098-1354(00)00653-0

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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 10