An Efficient and Robust Genetic Algorithm for Multiprocessor Task Scheduling
نویسندگان
چکیده
منابع مشابه
An Efficient Genetic Algorithm for Task Scheduling on Heterogeneous Computing Systems Based on TRIZ
An efficient assignment and scheduling of tasks is one of the key elements in effective utilization of heterogeneous multiprocessor systems. The task scheduling problem has been proven to be NP-hard is the reason why we used meta-heuristic methods for finding a suboptimal schedule. In this paper we proposed a new approach using TRIZ (specially 40 inventive principles). The basic idea of thi...
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The goal of task scheduling in a multiprocessor system is to schedule dependent tasks on processors such that the processing time is minimized. This ensures optimal usage of the processing systems. However this problem is NP-hard in nature and heuristic based techniques are used to obtain a good schedule in polynomial time. Genetic Algorithms (GA) have been proposed over other heuristics becaus...
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ژورنال
عنوان ژورنال: International Journal of Computer Theory and Engineering
سال: 2013
ISSN: 1793-8201
DOI: 10.7763/ijcte.2013.v5.713