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Graph Coloring Problem using Parallel Learner Genetic Algorithm

عنوان مقاله: Graph Coloring Problem using Parallel Learner Genetic Algorithm
شناسه ملی مقاله: ISCEE14_088
منتشر شده در چهاردهمین کنفرانس دانشجویی مهندسی برق کشور در سال 1390
مشخصات نویسندگان مقاله:

Habib Motee Ghader - Islamic Azad University-Tabriz Branch

خلاصه مقاله:
Task Graph Scheduling is one of the Np-Complete problems. One application of this problem is map coloring.In this paper a new hybrid method proposed for graph coloring problem. The Proposed algorithm uses genetic and learning automata simultaneously and it runs on multi computers. So with parallel execution of instruction the optimal answer is obtained in less time. The more effectiveness of the proposed algorithm compared with the other proposed methods

کلمات کلیدی:
Graph coloring, Genetic Algorithm, Learning Automata, Parallel Processing

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/121533/