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دانلود رایکان مقاله انگلیسی ISI با موضوع الگوریتم تکاملی جدید تقلیدی و کاربرد آن در بهینه سازی مصرف سوخت خودرو

عنوان فارسی مقاله:

الگوریتم تکامل مانکی کینگ: الگوریتم تکاملی جدید تقلیدی و کاربرد آن در بهینه سازی مصرف سوخت خودرو

عنوان انگلیسی مقاله:

Monkey King Evolution: A new memetic evolutionary algorithm and its application in vehicle fuel consumption optimization

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بخشی از مقاله انگلیسی :

3. The memetic Monkey King Evolutionary Algorithm

The Monkey King Evolutionary(MKE) Algorithm proposed in this paper is inspired by the action of the Monkey King, a character of a Chinese famous mythological novel, named Journey to the West. The novel relates the amazing adventures of the priest Sanzang as travels west in search of Buddhist Sutras with his three disciples, and Monkey King is the most capable disciple. The journey of the four is supposed to be dangerous and will-steeling. When Monkey King is in trouble, he can transform into different small monkeys to deal with the tough problem, and each small monkey can give a feedback solution to the Monkey King, so the Monkey King can select the best solution for the trouble. The Monkey King algorithm is an updated and more powerful version of Ebb-Tide-Fish algorithm [26]. It is the same as Ebb-Tide-Fish algorithm that there are also only a small amount of particles labeled as Monkey King particles in Monkey King Evolutionary Algorithm. We use a population rate R to define the proportion of particles in the population labeled as Monkey King particles. The Monkey King labels are randomly initialized with the sum equaling to R∗PopSize, PopSize denotes the population size. In the evolutionary algorithm, each Monkey King particle transforms to a small group of monkeys for exploitation while other particles in the population are for exploration. After each Monkey King particle’s exploitation, the particle becomes a normal particle of the population, and then we randomly select R∗PopSize particles from the population to change their labels to be new Monkey King particles.