Research on Path Planning Method of Solid Backfilling and Pushing Mechanism Based on Adaptive Genetic Particle Swarm Optimization

Research on Path Planning Method of Solid Backfilling and Pushing Mechanism Based on Adaptive Genetic Particle Swarm Optimization

This paper investigates the path planning problem of the coal mine solid-filling and pushing mechanism and proposes a hybrid improved adaptive genetic particle swarm algorithm (AGAPSO). To enhance the efficiency and accuracy of path planning, the algorithm combines a particle swarm optimization algo...

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Bibliographic Details
Main Authors: Lei Bo, Zihang Zhang, Yang Liu, Shangqing Yang, Yanwen Wang, Yiying Wang, Xuanrui Zhang
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Mathematics
Subjects:
coal mine solid backfilling
adaptive
genetic algorithm
path planning
Online Access:https://www.mdpi.com/2227-7390/12/3/479

Internet

https://www.mdpi.com/2227-7390/12/3/479

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