Author:
Boukef Hela,Benrejeb Mohamed,Borne Pierre
Abstract
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.
Publisher
Agora University of Oradea
Subject
Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications
Cited by
13 articles.
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