Improved Adaptive Genetic Algorithm in Optimal Layout of Leather Rectangular Parts

Hao LIU, Jianxin QIU

Abstract


In the mass customization of Leather products (such as sofa), the intelligent layout is the key technology to improve material utilization. The paper faces artificial leather fabric cutting problem, most can be converted into a rectangle packing layout problem. This paper proposes a new improved adaptive genetic algorithm. Crossover and mutation probability of genetic algorithm adaptively adjust on the basis of logistic curve equation and the shortcomings of traditional adaptive genetic algorithm solved well. The remaining rectangle algorithm as the decoding algorithm and adopting New cross-ways, the niche technology controlled whether the child individual replacement the parent individual or not accelerating convergence rate. Examples show that the algorithm of leather fabrics nesting is effective and a substantial increase in the utilization of leather fabric.


Keywords


Optimal layout of rectangular parts; Adaptive genetic algorithm; Niche technology; The remaining rectangle algorithm

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References


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DOI: http://dx.doi.org/10.3968/%25x

DOI (PDF): http://dx.doi.org/10.3968/%25x

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