Maximin Spreading Algorithm

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2010

Autores

pires, ejs (Autor) Outra; mendes, l (Autor) Outra; lopes, am (Autor) FEUP; oliveira, pbd (Autor) Outra; machado, jat (Autor) Outra; vaz, j (Autor) Outra; rosario, mj (Autor) Outra

Ata de Conferência Internacional

Título: 2010 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC)

Páginas: 1-8

2010 IEEE World Congress on Computational Intelligence

Barcelona, SPAIN, JUL 18-23, 2010

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 0 Citações

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Engenharia electrotécnica, electrónica e informática

Outras Informações

ID Authenticus: P-003-DAH

DOI: 10.1109/cec.2010.5586236

Abstract (EN): This paper presents a genetic algorithm to optimize uni-objective problems with an infinite number of optimal solutions. The algorithm uses the maximin concept and epsilon-dominance to promote diversity over the admissible space. The proposed algorithm is tested with two well-known functions. The practical results of the algorithm are in good agreement with the optimal solutions of these functions. Moreover, the proposed optimization method is also applied in two practical real-world engineering optimization problems, namely, in radio frequency circuit design and in kinematic optimization of a parallel robot. In all the cases, the algorithm draws a set of optimal solutions. This means that each problem can be solved in several different ways, all with the same maximum performance.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 8