An intelligent algorithm integrated with fit algorithms for solving the one-dimensional bin packing problem under multiple length restrictions

Kancheng Huang; Yueming Dai

doi:10.1117/12.2679127

8 May 2023 An intelligent algorithm integrated with fit algorithms for solving the one-dimensional bin packing problem under multiple length restrictions

Kancheng Huang, Yueming Dai

Author Affiliations +

Proceedings Volume 12635, Second International Conference on Algorithms, Microchips, and Network Applications (AMNA 2023); 1263505 (2023) https://doi.org/10.1117/12.2679127
Event: International Conference on Algorithms, Microchips, and Network Applications 2023, 2023, Zhengzhou, China

Abstract

The purpose of cutting material to length is to cut the material into finished products according to customer needs and minimize the amount of surplus material. To address this problem, we propose a model for extensions to the one-dimensional bin packing problem involving multiple length restrictions, which considers that all finished products have different lengths, and all length requirements are loaded into the finished products to achieve the optimization objectives of minimizing the quantity of the finished material and minimizing the remaining length of the finished material. The model is solved by a hybrid intelligent algorithm consisting of a genetic algorithm integrated with fit algorithms. The effectiveness of the hybrid intelligent algorithm is theoretically validated and experimentally verified using actual data and specific numerical examples.

Citation Download Citation

Kancheng Huang and Yueming Dai "An intelligent algorithm integrated with fit algorithms for solving the one-dimensional bin packing problem under multiple length restrictions", Proc. SPIE 12635, Second International Conference on Algorithms, Microchips, and Network Applications (AMNA 2023), 1263505 (8 May 2023); https://doi.org/10.1117/12.2679127

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