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April 3, 2026AlgorithmsOpen Access

The New Mushroom–Weed Hybrid Reproduction Optimization Algorithm and Its Application to Tourist Route Planning

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Authors

DPDomagoj PalinicRARea AladrovicMIMarina Ivašić-Kos

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Overview

Demonstrates a novel algorithm optimizing tourist routes, highlighting enhanced efficiency in real-world applications.

Key Points

  • To develop a new hybrid algorithm that improves the tourist route optimization process by integrating different strategies.
  • Proposed a hybrid algorithm combining Mushroom Reproduction Optimization and Invasive Weed Optimization.
  • Evaluated the algorithm using real-world data from Zagreb, Croatia.
  • Compared performance against existing algorithms like Ant Colony Optimization and Particle Swarm Optimization.
  • The MWHRO algorithm achieved high-quality solutions with lower execution times.
  • It outperformed standard Mushroom Reproduction Optimization in constrained scenarios.
  • Statistical analysis confirmed the algorithm's robustness for practical route optimization.

Cite This Study

Palinic et al. (2026) studied this question.

synapsesocial.com/papers/69cf5e3d5a333a821460c745https://doi.org/10.3390/a19040275
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