A Hybrid Fuzzy Simplex Genetic Algorithm

Document Type

Article

Publication Date

11-2004

Publication Title

Journal of Mechanical Design

Volume

126

Issue

6

First page number:

969

Last page number:

974

Abstract

This paper presents a novel hybrid genetic algorithm that has the ability of the genetic algorithms to avoid being trapped at local minimum while accelerating the speed of local search by using the fuzzy simplex algorithm. The new algorithm is labeled the hybrid fuzzy simplex genetic algorithm (HFSGA). Standard test problems are used to evaluate the efficiency of the algorithm. The algorithm is also applied successfully to several engineering design problems. The HFSGA generally results in a faster convergence toward extremum.

Keywords

Design engineering; Engineering design; Fuzzy logic; Genetic algorithms; Memetics; Minimisation

Disciplines

Artificial Intelligence and Robotics | Computer-Aided Engineering and Design | Computer Sciences | Mechanical Engineering | Theory and Algorithms

Language

English

Permissions

Use Find in Your Library, contact the author, or interlibrary loan to garner a copy of the item. Publisher policy does not allow archiving the final published version. If a post-print (author's peer-reviewed manuscript) is allowed and available, or publisher policy changes, the item will be deposited.

Publisher Citation

A Hybrid Fuzzy Simplex Genetic Algorithm Mohamed B. Trabia, J. Mech. Des. 126, 969 (2004), DOI:10.1115/1.1803852

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