A Hybrid Fuzzy Simplex Genetic Algorithm
Copyright policy )A Hybrid Fuzzy Simplex Genetic Algorithm
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.
- University of Nevada Reno United States
- University of Nevada, Las Vegas United States
Design engineering, Engineering design, Artificial Intelligence and Robotics, Computer Sciences, Theory and Algorithms, Mechanical Engineering, Computer-Aided Engineering and Design, Genetic algorithms, Fuzzy logic, Memetics, Minimisation
Design engineering, Engineering design, Artificial Intelligence and Robotics, Computer Sciences, Theory and Algorithms, Mechanical Engineering, Computer-Aided Engineering and Design, Genetic algorithms, Fuzzy logic, Memetics, Minimisation
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