Research on the allocation of water resources engineering projects based on multi-objective optimization

Abstract

The shortage of water resources (WR) directly affects the economic development and ecological environment in the region, and optimizing the allocation of water resources engineering (WRE) projects is the most valid method to solve this problem. Traditional WR allocation methods can no longer solve the complex configuration problems of complex WRE projects, and the emergence of artificial intelligence (AI) technology has not provided new technologies and methods for optimizing WR allocation. This article conducted research on multi-objective optimization configuration of WRE based on AI technology. First, it introduced the current situation and future development direction of WR allocation, indicating the transformation of WR allocation from single-objective optimization to multi-objective optimization, and the importance of WR allocation, which should be coordinated from multiple aspects such as economy, society, and ecology. Experiments were conducted on its multi-objective genetic algorithm from three aspects: water use assurance rate, economic and ecological benefits, and execution efficiency. HIGHLIGHT From this, it can be concluded that the genetic optimization algorithm based on artificial intelligence has achieved significant results in multi-objective optimization configuration of water resources engineering projects.;

Keywords

• artificial intelligence
• genetic optimization algorithms
• multi-objective optimization
• water resource allocation
• water resource engineering
• water scarcity