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Research on Path Optimization of Deep Sea Mining Vehicles Based on Intelligent Algorithms

  • Xiaodong Jing,
  • Gengjie Zhu,
  • Zepu Song,
  • Laifa Sang,
  • Jie Liu

摘要

Taking the path planning problem of deep-sea mining vehicles in deep-sea environments as the research object, a path planning model for deep-sea mining vehicles was established based on its characteristics, and corresponding intelligent algorithms were designed to solve the problem. Finally, simulation analysis was conducted on the results, and the simulation results showed that the path planning scheme for deep-sea mining vehicles obtained by the intelligent algorithm is feasible and can better meet the path planning requirements of mining vehicles in deep-sea environments. Therefore, the intelligent algorithm designed in this article can be well applied to the research of deep-sea mining vehicle path optimization and has certain reference value.