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October 2, 2025Robotica

Research on mobile robot path planning based on multi-strategy improved ant colony algorithm

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Authors

XWXinghua WangJWJie WangJCJiawen Cao

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Overview

Proposed algorithm significantly reduces path length and time in mobile robot navigation, suggesting enhanced efficiency.

Key Points

  • The multi-strategy improved ant colony algorithm reduces path length by 30.4%, improving navigation efficiency.
  • MS-ACO demonstrates a 37.8% decrease in pathfinding time, addressing traditional algorithm limitations effectively.
  • Distinct pheromone update strategies in different phases support dynamic parameter adaptation for better optimization.
  • Techniques to enhance global search capability also constrain unnecessary turns, improving overall path planning performance.

Cite This Study

Wang et al. (2025) studied this question.

synapsesocial.com/papers/68de84bf5b556a9128e1bd4bhttps://doi.org/10.1017/s0263574725102610
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