Optimization of Sheet Metal Parts Nesting Using Genetic Algorithm


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Abstract


The two Dimensional cutting stock problem is a common problem arising in the sheet metal industries, lock industries, textile industries, etc. Here the problem is to reduce the wastage in order to increase the profit. This problem is also called as the general two dimensional problem or NP hard problems. The choice of chromosome representation in genetic algorithm depends on the variables of the optimization problem being solved. The main objective of the work is the maximum utilization of part in the sheet and also minimizes the wastage.
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Keywords


Strip; Sheet Metal; Optimization; Genetic Algorithm; Initial Population; Cross Over; Mutation

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References


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