DOAJ Open Access 2022

Research on green single machine scheduling based on improved ant colony algorithm

Dongping Qiao Yajing Wang Jie Pei Wentong Bai Xiaoyu Wen

Abstrak

This paper studies the green single-machine scheduling problem that considers the delay cost and the energy consumption of manufacturing equipment and builds its integrated optimization model. The improved ant colony scheduling algorithm based on the Pareto solution set is used to solve this problem. By setting the heuristic information, state transition rules, and other core parameters reasonably, the performance of the algorithm is improved effectively. Finally, the model and the improved algorithm are verified by the simulation experiment of 10 benchmark cases.

Topik & Kata Kunci

Control engineering systems. Automatic machinery (General) Technology (General)

Penulis (5)

Dongping Qiao

Yajing Wang

Jie Pei

Wentong Bai

Xiaoyu Wen

Format Sitasi

APA MLA BibTeX

Qiao, D., Wang, Y., Pei, J., Bai, W., Wen, X. (2022). Research on green single machine scheduling based on improved ant colony algorithm. https://doi.org/10.1177/00202940211064243

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Informasi Jurnal

Tahun Terbit: 2022
Sumber Database: DOAJ
DOI: 10.1177/00202940211064243
Akses: Open Access ✓