In The past, the Products of Companies and factories did not have enough diversity. But with progress of Companies and users demand for Personalization of products according to user’s needs, so companies force to increase diversity of products. After a while, the list of products which produced by companies increased so much and then companies need a way to consolidate diversity of products. Also a lot of products that made by a some software product line has a few differences to each other, the only difference is in a few features. So for design and construction of each products there is no need to design them from the beginning and only some features and ability of each products should be designed separately and then each of products will be made by combination of feature. Many algorithms have been present for extraction feature model from products list but all of them using too much memory and having highly run-time. In this thesis, we used evolutionary algorithms to make feature model that shows the products produced by each of software product line. According to evaluations, the proposed method reduced the runtime by and greatly improved memory usage. Keywords: Software Product Lines, Feature model, Evolutionary Algorithm, Feature Extraction