A new approach for sheet nesting problem using guided cuckoo search and pairwise clustering |
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| Authors: | Ahmed Elkeran |
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| Affiliation: | Department of Mechanical Engineering, King Abdulaziz University, Jeddah, Saudi Arabia |
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| Abstract: | The nesting problem is commonly encountered in sheet metal, clothing and shoe-making industries. The nesting problem is a combinatorial optimization problem in which a given set of irregular polygons is required to be placed on a rectangular sheet. The objective is to minimize the length of the sheet while having all polygons inside the sheet without overlap. In this study, a methodology that hybridizes cuckoo search and guided local search optimization techniques is proposed. |
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| Keywords: | Cutting Nesting No-fit polygon Clustering Cuckoo search Guided local search |
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