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9 October 2023 Improved artificial bee colony algorithm to solve mobile robot path planning
Guang-xin Li, Chao Liu, Wen-sheng Xiao, Li-ping Tan, Chang-jiang Li, Teng Wang
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Proceedings Volume 12791, Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023); 127910P (2023) https://doi.org/10.1117/12.3004690
Event: Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023), 2023, Qingdao, SD, China
Abstract
Swarm intelligence algorithms have a large number of applications in solving robot path planning problems. The traditional artificial bee colony (ABC) algorithm has strong global ability, large randomness, however there are problems such as the more nodes, the higher the path complexity. In this study, node movement artificial bee colony algorithm (NMABC) is proposed overcome the disadvantages of the traditional ABC in solving robot path planning problems. The NMABC algorithm contains two novel mechanisms which are the improved initial path generation way and the neighborhood search method of the iterative path of the employed bee. The experimental results show that the NMABC has good global search capability and fast iterative convergence, and it can find the optimal path quickly.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Guang-xin Li, Chao Liu, Wen-sheng Xiao, Li-ping Tan, Chang-jiang Li, and Teng Wang "Improved artificial bee colony algorithm to solve mobile robot path planning", Proc. SPIE 12791, Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023), 127910P (9 October 2023); https://doi.org/10.1117/12.3004690
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KEYWORDS
Mobile robots
Computer simulations
Algorithm development
Modeling
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