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November 30, 2025Engineering ReportsOpen Access

Genetic Algorithm Based on Trip Priority Optimization and Its Application in Tourism Path Planning

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Overview

Research demonstrates effective path planning model reduces travel time and enhances decision support in dynamic tourist settings.

Key Points

  • The proposed path planning model significantly reduces travel time with a maximum of 6.03 minutes.
  • With average solution qualities ranging from 82.31 to 85.36, the model outperforms existing methods significantly.
  • Utilizing a genetic algorithm alongside ant colony optimization enhances response time for dynamic factors affecting tourism.
  • The findings could support smarter tourism decisions, improving efficiency in managing tourist flows and experiences.

Cite This Study

A 2025 study studied this question.

synapsesocial.com/papers/692b9d8d1d383f2b2a379bd3https://doi.org/10.1002/eng2.70508
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Genetic Algorithm Based on Trip Priority Optimization and Its Application in Tourism Path Planning2025
  2. 2Application of Genetic Algorithm in Optimizing Path Selection in Tourism Route Planning2025
  3. 3Personalized Tourist Route Optimization Algorithm Based on an Enhanced Ant Colony Approach: A Case Study in Southwest China2026
  4. 4Enhancement of Genetic Algorithm by J.Zhang Applied to Tour Planning2024
  5. 5System for Selecting Tourist Routes Based on Genetic Programming2024