Title

A Hybrid Fuzzy Simplex Genetic Algorithm

Document Type

Article

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.

Disciplines

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

Permissions

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Publisher Citation

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