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- W2091243113 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." @default.
- W2091243113 created "2016-06-24" @default.
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- W2091243113 date "2004-11-01" @default.
- W2091243113 modified "2023-10-18" @default.
- W2091243113 title "A Hybrid Fuzzy Simplex Genetic Algorithm" @default.
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- W2091243113 doi "https://doi.org/10.1115/1.1803852" @default.
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