A Systematic Review for Solving Flow Shop Scheduling Problem Using Differential Evolution Algorithm
Angel Ramos, Manuel Tupia

Abstract
This paper uses a systematic literature review about the resolution of the Flow Shop Scheduling problem (FSP) using a Differential Evolution (DE) algorithm, in order to define the current state of the art, and to identify possible future works in that area. Research questions were first identified, and the search strategy identified 64 studies, after getting more information from the studies and applying exclusion and inclusion choosing criteria only 48 studies were chosen, and considered as primary studies for this research, this process was following the guidelines proposed by Kitchengam [19]. In addition to presenting our results, there are also some suggestions for future works in the filed based on the current systematic literature review. The obtained results give information about the initial population process which is commonly generated using random processes, and the processes used to create the new individuals in each generation of the algorithm. After the review, this paper suggests the research or proposal to use heuristic algorithms to generate initial individual and start the future generation individuals based on good individual solutions, this improvement will generate better solutions and increase the performance of the algorithm.

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