نوع مقاله : مقاله پژوهشی
نویسندگان
1 گروه فنی و مهندسی، دانشگاه ازاد اسلامی واحد میبد، یزد، ایران
2 دانشجوی ارشد، مرکز تحقیقات زیست فناوری پزشکی، واحد اشکذر، دانشگاه آزاد اسلامی، اشکذر، یزد، ایران.
چکیده
کلیدواژه‌ها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
Memetic algorithms are used for optimization in cases where the objective function is costly and the population-based nature of the search is evaluated by the memetic algorithm. In rule-based systems, a significant number of generations are required to find the optimal value of the objective function. One of the methods of generating the rule of the learning classifier system. The function of the learning classifier systems is based on the genetic algorithm, it is not possible to search and save the previous steps in order to find a better solution to the problem. In this article, the memetic algorithm is used to improve and optimize the learner classification system. In the proposed algorithm, the memetic algorithm is used to create a population to improve the learning classifier system in the state space. The efficiency of the proposed method is demonstrated using the implementation. The results show that the proposed hybrid method of replacing the memetic algorithm in the learning classifier system can significantly speed up the hybrid system and improve the quality.
کلیدواژه‌ها [English]
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