文章基本信息

标题：An Empirical Model of Job Shop Scheduling With Related To Tiny Chemical Assembly Instructions Inside of Living Things and Gels Techniques
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作者：Ganesh Potta ; Santosh Naidu P
期刊名称：International Journal of Computer Networks and Applications (IJCNA)
电子版ISSN：2395-0455
出版年度：2014
卷号：1
期号：1
页码：26-32
语种：English
出版社：EverScience Publications
摘要：Usage of (math-based/computer-based) useful things/valuable supplies is always an interesting research issue in the field of Grid figuring out/calculating. Job shop scheduling is a combinatorial optimization problem it finds possible number of solution for best solution. In this paper we are proposing a blended approach of (related to tiny chemical assembly instructions inside of living things) set of computer instructions and GELS set of computer instructions for identifying missed job or best solution from set of samples or (genetic information storage areas) which contains jobs, operation and time span.