The Main Methods of Ecological Water Conservancy Engineering Planning and Design Based on Fusion Combination Genetic Algorithm

This article takes the Xitiaoxi River Basin as an example and proposes an ecological water conservancy engineering planning and design method based on a fusion combination genetic algorithm. By dividing the entire ecological water conservancy project into terrain analysis, water resource allocation, and an irrigation system design, a fusion combination genetic algorithm was used to solve and simulate the evolutionary process of nature and gradually find water resource allocation schemes and irrigation methods that meet the conditions. The research results indicated that fusion optimization using combinatorial genetic algorithms can achieve optimal utilization of resources and maximum protection of the ecological environment. Through instance verification, the algorithm had high reliability, was easy to understand and operate, and had high computational efficiency. The research results provided theoretical data support for using a fusion combination genetic algorithm for ecological water conservancy engineering planning and design.

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Publication Details

Journal
International Journal of Grid and High Performance Computing
Published
2025-07-24
DOI
https://doi.org/10.4018/ijghpc.385798
Primary Topic
Hydrology and Watershed Management Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

The Main Methods of Ecological Water Conservancy Engineering Planning and Design Based on Fusion Combination Genetic Algorithm

Yong Wang, Lin Zhang, Jingbo Shi
International Journal of Grid and High Performance Computing
Hydrology and Watershed Management Studies
article

The Main Methods of Ecological Water Conservancy Engineering Planning and Design Based on Fusion Combination Genetic Algorithm

Yong Wang, Lin Zhang, Jingbo Shi
article en

Abstract

This article takes the Xitiaoxi River Basin as an example and proposes an ecological water conservancy engineering planning and design method based on a fusion combination genetic algorithm. By dividing the entire ecological water conservancy project into terrain analysis, water resource allocation, and an irrigation system design, a fusion combination genetic algorithm was used to solve and simulate the evolutionary process of nature and gradually find water resource allocation schemes and irrigation methods that meet the conditions. The research results indicated that fusion optimization using combinatorial genetic algorithms can achieve optimal utilization of resources and maximum protection of the ecological environment. Through instance verification, the algorithm had high reliability, was easy to understand and operate, and had high computational efficiency. The research results provided theoretical data support for using a fusion combination genetic algorithm for ecological water conservancy engineering planning and design.

International Journal of Grid and High Performance ComputingVol. 17(1)
Ningxia Water Conservancy (CN), Zhejiang Medicine (China) (CN)
Openalex Percentile: Top 82%
Hydrology and Watershed Management Studies
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