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Job-Shop Scheduling Using Hybrid Shuffled Frog Leaping

عنوان مقاله: Job-Shop Scheduling Using Hybrid Shuffled Frog Leaping
شناسه ملی مقاله: CSICC14_042
منتشر شده در چهاردهمین کنفرانس بین المللی سالانه انجمن کامپیوتر ایران در سال 1388
مشخصات نویسندگان مقاله:

M Alinia Ahandani - University of Tabriz, Tabriz, Iran.
N Pourqorban Shirjoposht - University of Tabriz, Tabriz, Iran.
R Banimahd - Sahand University of Technology, Sahand, Iran

خلاصه مقاله:
Job-shop scheduling problem is demonstrated as one of the NP-complete problems. To solve this problem, we propose two types of hybrid shuffled frog leaping algorithm. Hybrid algorithms are generated by combining the shuffled frog leaping and a local search method. Also a new local search method by combining two other simple local searches is proposed. The obtained results demonstrate that our proposed hybrid algorithms have a better performance than their nonhybrid competitors. Also a comparison among proposed hybrid shuffled frog leaping and hybrid genetic algorithms demonstrate that the hybrid shuffled frog leaping algorithms can be generated a better schedule than their genetic algorithm competitors. A caparison of the best obtained results with the results reported in the considered literature shows that our proposed algorithms have a comparable performance

کلمات کلیدی:
Job-Shop Scheduling; Local Search; Shuffled Frog Leaping

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/73008/