Genetic algorithm for production lot planning of steel pipe
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experimental results are given. The experiments show that the genetic algorithm is efficient for the planning problem. This paper deals with production lot planning of steel pipe in iron and steel industries from the point of view of cutting crude pipe. Two objectivesare considered. The first isto minimize leftovers and the second to minimize all over-grade. Because this problem is generally a large scale one, the traditional search methods have lost their power. We apply a genetic algorithm to obtain the near-optimal solution. Finally, the