A bi-objective mixed capacitated arc routing problem based on epsilon constraint algorithm

Ting-ting Miao; Tian-bao Qin

doi:10.1117/12.2684682

21 July 2023 A bi-objective mixed capacitated arc routing problem based on epsilon constraint algorithm

Ting-ting Miao, Tian-bao Qin

Proceedings Volume 12717, 3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023); 127172E (2023) https://doi.org/10.1117/12.2684682
Event: 3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023), 2023, Wuhan, China

Abstract

The classified collection of urban waste by waste collection vehicles involves one-way and two-way roads. At the same time, the capacity of collection vehicles is limited. Therefore, the waste sorting and collection problem is modeled as a mixed capacitated arc routing problem (MCARP), hybrid refers to the presence of edge and arc elements, which approximates a real road network and is solved using the Epsilon constraint method. Relative to the existing literature, the model also considers the classified collection of different types of waste and the fairness of the workload of collection workers, and a Bi-objective MCARP model is developed and solved using the Epsilon constraint algorithm method. Finally, a set of cases of different scale is designed to be solved in numerical experiments to determine the solution scale of the model.

Citation Download Citation

Ting-ting Miao and Tian-bao Qin "A bi-objective mixed capacitated arc routing problem based on epsilon constraint algorithm", Proc. SPIE 12717, 3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023), 127172E (21 July 2023); https://doi.org/10.1117/12.2684682

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