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Cellular manufacturing is a wide world and many study and researches discussed are concerning with it because of the large demand in market and wheel technology push the scientist to find tools that can stand with this fast change in demand according specific market , so that they invent the best way to deal with optimization purpose. In this research the dealing with cellular optimization in such a way that can be manageable by AI and using type of AI that named natural optimization . The applying of genetic algorithms was carried out on factory of electrical motor also all data was taken from the factory which is depend on the position and sequence of operations took place in the factory . The theory in this field were also taking in consideration and the applications was carried out . the research deals with problem in two way theoretically that can take in consideration the positions of machines inside the plant and its equations that covers with some constraints and the secondly the routing of part during product life cycle and execute results and applying it on factory configuration . There are multi solutions (results ) in the research for the problem that can achieve the flexibility , simplicity and also desired distance Keyword: Cellular manufacturing , Genetic Algorithms , optimization, layout Comp Page 69 77 Dhurgham .A / Maytham .S Recived : 14\8\2017 Revised : 29\8\2017 Accepted : 13\9\2017

Plant layout design and assessment consideration of cellular manufacturing system via G.A