Soft Computing Approach to Production Line Design
نویسنده
چکیده
In this paper one of the new generation soft computing technique that is known as Gene Expression Programming (GEP) is used to develop a meta-model for the multiobjective design of a hypothetical production line. The developed meta-model is used to optimize production line design with Multiple Objective Tabu Search algorithm (MOTS). It is found out that GEP and MOTS can be effectively used to solve production line design problems which are known as complex design problems.
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