An Effective Hybrid Jellyfish Search Algorithm for Multi-AGVs Path Planning-Reference-Cited by-同舟云学术

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An Effective Hybrid Jellyfish Search Algorithm for Multi-AGVs Path Planning

Published:2024-03-08 Issue: Volume:38 Page:89-94
ISSN:
Container-title:2024 12th International Conference on Intelligent Control and Information Processing (ICICIP)
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Author:

Chen Xiaojie¹,Wu Qingtao²,Zhao Xuhui¹,Yao Shan³,Chen Xi³,Zhang Mingchuan¹

Affiliation:

1. School of Information Engineering Henan University of Science and Technology,Luoyang,China

2. School of Information Engineering Henan University of Science and Technology,Longmen Laboratory,Luoyang,China

3. 360 Digital Security Technology Group Co., Ltd,Longmen Laboratory,Beijing,China

Funder

University of Henan Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10477678/10477778/10477818.pdf?arnumber=10477818

Reference19 articles.

1. Improved Particle Swarm Optimization Algorithm for AGV Path Planning

2. Path and Action Planning in Non-uniform Environments for Multi-agent Pickup and Delivery Tasks

3. Scheduling and routing algorithms for AGVs: A survey

4. A local search metaheuristic algorithm for the vehicle routing problem with simultaneous pick-ups and deliveries;Emmanouil;Expert Syst. Appl.,2011

5. Local and random searches for dispatch and conflict-free routing problem of capacitated AGV systems

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