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Selective Sequential Memetic Algorithms and the Impact of Local Searchers

عنوان مقاله: Selective Sequential Memetic Algorithms and the Impact of Local Searchers
شناسه ملی مقاله: CECIT01_770
منتشر شده در کنگره ملی مهندسی برق، کامپیوتر و فناوری اطلاعات در سال 1392
مشخصات نویسندگان مقاله:

Hadis Jalesian - Islamic Azad University, Branch of Mashhad
Mohammadreza Akbarzadeh TooToonchi - Scientific Board of Electriciry of Ferdowsi University
Elahe Pakdel - Islamic Azad University, Branch of Mashhad,

خلاصه مقاله:
Memetic Algorithms (MA) have revealed a good performance in resolving optimization matters and decision-making. Because of its major influence on algorithm results, selection of local searchers is one of the critical issues in these algorithms. Periodicity, depth and frequency of local search are three impressive parameters on performance of memetic algorithms, and this fact is bedrock of our proposal of Selective Sequential Memetic Algorithm, which is based on sequential genetic algorithm and guided selection of chromosomes. Computational time and optimum responses of this algorithm along with even, annealing guided elitism memetic algorithm are discussed on Ackley optimization function.

کلمات کلیدی:
memetic algorithm, conscious search, genetic algorithm, sequential genetic, local search, elitism

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/211105/