Optimization of energy saving device combined with a propeller using real-coded genetic algorithm

Ryu, Tomohiro; Kanemaru, Takashi; Kataoka, Shiro; Arihama, Kiyoshi; Yoshitake, Akira; Arakawa, Daijiro; Ando, Jun

doi:10.2478/ijnaoe-2014-0188

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) Genetic Algorithm Solution1

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Cited by 8 publications

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“…where a 0 or 1 at the ith position expresses the positive or active of the ith characteristic, mf se is an original factor and expresses the amount of selected characteristic. This suggestion make the genetic evolution characteristics in lower case [44]. In addition, the generation number (N G ), crossover fraction (P c ), and mutation probability (P m ) are defined.…”

Section: ) Genetic Algorithm Solutionmentioning

confidence: 99%