Single-objective spreading algorithm

• Tipo: Capítulo ou Parte de Livro
• Data: 2013

Autores

E. J. Solteiro Pires (Autor) FEUP; Luís Mendes (Autor) Outra; António M. Lopes (Autor) FEUP; P. B. de Moura Oliveira (Autor) Outra; José Tenreiro Machado (Autor) Outra

Livro

Título: Computational Intelligence and Decision Making Trends and Applications

Páginas: 131-142

ISBN: 978-94-007-4721-0

ISBN Eletrónico: 978-94-007-4722-7

Editora: Springer

Indexação

Scopus - 0 Citações

Classificação Científica

FOS: Ciências da engenharia e tecnologias

Outras Informações

ID Authenticus: P-00N-QQA

Abstract (EN): This paper addresses the problem of finding several different solutions with the same optimum performance in single objective real-world engineering problems. In this paper a parallel robot design is proposed. Thereby, 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 ¿-dominance to promote diversity over the admissible space. The performance of the proposed algorithm is analyzed with three well-known test functions and a function obtained from practical real-world engineering optimization problems. A spreading analysis is performed showing that the solutions drawn by the algorithm are well dispersed.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 11