A Multi-AGV Optimal Scheduling Algorithm Based on Particle Swarm Optimization-Reference-Cited by-同舟云学术

A Multi-AGV Optimal Scheduling Algorithm Based on Particle Swarm Optimization

Published:2020 Issue: Volume: Page:527-538
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
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Author:

Xia Pingping,Xu Aihua,Zhang Ying

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-15-8083-3_47

Reference18 articles.

1. Draganjac, I., Miklic, D., Kovacic, Z., et al.: Decentralized control of multi-AGV systems in autonomous warehousing applications. IEEE Trans. Autom. Sci. Eng. 13(4), 1433–1447 (2016)

2. Zhang, P.: The design of AGV control system and its application in printing center. Adv. Mater. Res. 605–607, 1696–1699 (2012)

3. Maryam, M.: Multi-objective AGV scheduling in an FMS using a hybrid of genetic algorithm and particle swarm optimization. PLoS ONE 12(3), 1–24 (2017)

4. Huang, J.Z., Cen, Y.W.: A path-planning algorithm for AGV based on the combination between ant colony algorithm and immune regulation. Adv. Mater. Res. 422, 3–9 (2011)

5. Smolic-Rocak, N., Bogdan, S., Kovacic, Z., Petrovic, T.: Time windows based dynamic routing in multi-AGV systems. IEEE Trans. Automat. Sci. Eng. 7, 151–155 (2010)

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