文章基本信息

标题：Genetic Algorithm Optimal approach for Scheduling Processes in Operating System
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作者：Manu Sharma ; Preeti Sindhwani ; Vijay Maheshwari 等
期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2014
卷号：14
期号：5
页码：91-94
出版社：International Journal of Computer Science and Network Security
摘要：To enhance the performance of CPU, Many scheduling approaches are used to get maximum throughput in terms of scheduling the processes, waiting in the ready queue in minimum waiting time. This paper presents the genetic algorithm approach to provide the optimal solution for scheduling the processes and compares the results with other traditional scheduling algorithms. CPU scheduling is an NP hard problem. Genetic algorithm provides the optimal solution to these NP hard problems. These algorithms handle a population of possible solutions and the selection of these solutions is based on the fitness function. Crossover & other operators are used to generate new population
关键词：Ordered Crossover