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Statement of Retraction: We, the Editor and Publisher of Applied Artificial Intelligence, have retracted the following article: Zhang Maoyun, Xi Huizhuang, Tang Chen, Jiang Yuheng, Zhang Ziyan & Tian Chunlin, Binding Mechanism of Aviation Wire Harness Based on Improved Particle Swarm Optimization, Applied Artificial Intelligence Since publication, concerns have been raised by the authors about the integrity of the data presented in the article. The authors have identified issues with the programming statistics that have led to conclusions which are not credible and have requested the retraction of the article. We have been informed in our decision-making by our policy on publishing ethics and integrity and the COPE guidelines on retractions. The retracted article will remain online to maintain the scholarly record, but it will be digitally watermarked on each page as "Retracted". [ABSTRACT FROM AUTHOR]

In order to optimize the functionality of automated guidance vehicles (AGVs) in logistics workshops, a wireless charging and task-based logistics intelligent dispatch system was developed based on the Internet of Things. This system aimed to improve freight efficiency in the workshop’s logistics system. The scheduling system successfully addressed the round-trip scheduling issue between AGVs and multiple tasks through two degrees of improvement: the application of AGVs and task path planning. To handle conflict coordination and AGV cluster path planning, a shortest path planning algorithm based on the A* search algorithm was proposed, and the traffic control law was enhanced. The initial population of genetic algorithms, which used greedy algorithms to solve problems, was found to be too large in terms of task distribution. To address this, the introduction of a few random individuals ensured population diversity and helped avoid local optima. Numerical experiments demonstrated a significantly accelerated convergence rate towards the optimal solution.