A Proposed Genetic Algorithm Coding for Flow-Shop Scheduling Problems

Hela Boukef, Mohamed Benrejeb, Pierre Borne


A new genetic algorithm coding is proposed in this paper to solve flowshop scheduling problems. To show the efficiency of the considered approach, two examples, in pharmaceutical and agro-food industries are considered with minimization of different costs related to each problem as a scope. Multi-objective optimization is thus, used and its performances proved.


genetic algorithm, operations coding, flow-shop problems, multiobjective optimization, pharmaceutical industries, agro-food industries

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DOI: https://doi.org/10.15837/ijccc.2007.3.2356

Copyright (c) 2017 Hela Boukef, Mohamed Benrejeb, Pierre Borne

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