A Proposed Genetic Algorithm Coding for Flow-Shop Scheduling Problems | Zendy

Hela Boukef | Zendy; Mohamed Benrejeb | Zendy; Pierre Borne | Zendy

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A Proposed Genetic Algorithm Coding for Flow-Shop Scheduling Problems

Author(s) -

Hela Boukef,

Mohamed Benrejeb,

Pierre Borne

Publication year - 2007

Publication title -

international journal of computers communications and control

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.422

H-Index - 33

eISSN - 1841-9844

pISSN - 1841-9836

DOI - 10.15837/ijccc.2007.3.2356

Subject(s) - flow shop scheduling , computer science , coding (social sciences) , mathematical optimization , minification , job shop scheduling , scheduling (production processes) , genetic algorithm , algorithm , schedule , mathematics , statistics , operating system

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

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