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.
A Hybrid Fuzzy Simplex Genetic Algorithm
Contributed by the Design Automation Committee for publication in the JOURNAL OF MECHANICAL DESIGN. Manuscript received January 7, 2003; revised March 16, 2004. Associate Editor: W. Chen.
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Trabia, M. B. (February 14, 2005). "A Hybrid Fuzzy Simplex Genetic Algorithm ." ASME. J. Mech. Des. November 2004; 126(6): 969–974. https://doi.org/10.1115/1.1803852
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