Single-objective spreading algorithm

• Type: Chapter or Part of a Book
• Date: 2013

Authors

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

Book

Title: Computational Intelligence and Decision Making Trends and Applications

Pages: 131-142

ISBN: 978-94-007-4721-0

Electronic ISBN: 978-94-007-4722-7

Publisher: Springer

Indexing

Scopus - 0 Citations

Scientific classification

FOS: Engineering and technology

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 11