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

• Published in: International journal of grid and high performance computing Vol. 17; no. 1; pp. 1 - 22
• Main Authors: Wang, Yong, Zhang, Lin, Shi, Jingbo
• Format: Journal Article
• Language: English
• Published: Hershey IGI Global 01.01.2025
• Subjects: Climate change; Combinatorial analysis; Design engineering; Design techniques; Efficiency; Environmental impact; Genetic algorithms; High performance computing; Hydraulic engineering; Irrigation; Irrigation systems; Methods; Optimization; Planning; Resource allocation; Resource utilization; River basins; Sustainable development; Systems design; Terrain analysis; Water conservation; Water resources
• ISSN: 1938-0259; 1938-0267; 1938-0267
• DOI: 10.4018/IJGHPC.385798

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.