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August 19, 2025The International Journal of Maritime Engineering

Application of Genetic Algorithm in Optimizing Path Selection in Tourism Route Planning

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Authors

LYLihua Yuan

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Overview

Analysis reveals that weighted ranking ant colony optimization improves travel distances and tourist satisfaction in route planning.

Key Points

  • Optimal path selection can significantly enhance tourist satisfaction while minimizing travel distances and costs.
  • Simulation results indicate that the best tour length is minimized to 200 units over ten iterations using WRACO.
  • The approach employs genetic algorithms and ant colony optimization to navigate complex tourism landscapes effectively.
  • The findings suggest that integrating innovative algorithms like WRACO may revolutionize tourism route planning processes.

Cite This Study

Lihua Yuan (2025) studied this question.

synapsesocial.com/papers/68af4760ad7bf08b1ead4641https://doi.org/10.5750/ijme.v167ia2(s).1643
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  1. 1Genetic Algorithm Based on Trip Priority Optimization and Its Application in Tourism Path Planning2025
  2. 2Genetic Algorithm Based on Trip Priority Optimization and Its Application in Tourism Path Planning2025 · 1 citations
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  5. 5Enhancement of Genetic Algorithm by J.Zhang Applied to Tour Planning2024