Maximin Spreading Algorithm

• Type: Article in International Conference Proceedings Book
• Date: 2010

Authors

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

Conference proceedings International

Title: 2010 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC)

Pages: 1-8

2010 IEEE World Congress on Computational Intelligence

Barcelona, SPAIN, JUL 18-23, 2010

Indexing

ISI Web of Knowledge - 0 Citations

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Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8