Journal of Applied Science and Engineering

Published by Tamkang University Press

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Optimizing the Allocation of Rural Cultural Resources Using Genetic Algorithms

 2026

 Volume 32

Hui Ding

Marxism Institute, Lianyungang Technical College, Lianyungang 222000, Jiangsu, China

Received: March 2, 2026
Accepted: April 14, 2026
Publication Date: June 1, 2026

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Fitness convergence curve

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.

Download Citation:  BibTeX | http://dx.doi.org/10.6180/jase.202609_32.065  

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Efficient distribution of rural cultural resources is essential for sustainable development under China’s rural revitalization strategy. This study presents a scalarized multi-objective genetic algorithm optimizing utilization, tourism appeal, costs, and sustainability under constraints. Tested on 30 simulated resources, it outperforms heuristics, improving utilization by 14.47%, reducing costs by 19.72%, and increasing sustainability scores by
1.18 points.

Keywords: Rural cultural resource allocation, Genetic algorithm optimization, Sustainable rural tourism, Multi-objective decision support, China rural revitalization

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