Optimization Design of Drip Irrigation System Pipe Network Based on PSO-GA: A Case Study of Northwest China DOI Open Access
Meng Li, Bai Dan, Li Li

et al.

Processes, Journal Year: 2025, Volume and Issue: 13(5), P. 1485 - 1485

Published: May 12, 2025

Implementing drip irrigation technology in water-scarce regions is a key development direction for modern agriculture. This paper proposes multi-constraint optimization model based on particle swarm optimization-genetic algorithm (PSO-GA) to minimize the annual cost of construction, energy consumption, and maintenance pipe network. case study shows that PSO-GA significantly better than traditional empirical method, (PSO), genetic (GA), an Atom Search Optimization (ASO) pipeline’s network parameters, total reduced by 21.2%, 15.9%, 7.5%, 6.3%, respectively. The average 166,200 yuan/year, constraint satisfaction rate node pressure flow with single algorithm. After optimization, diameter main gradually from 200 mm 160 mm, number branch pipes five four, pump head 25.7%, consumption 26.7%. provides powerful tool system designers achieve efficient parameters costs systems.

Language: Английский

Optimization Design of Drip Irrigation System Pipe Network Based on PSO-GA: A Case Study of Northwest China DOI Open Access
Meng Li, Bai Dan, Li Li

et al.

Processes, Journal Year: 2025, Volume and Issue: 13(5), P. 1485 - 1485

Published: May 12, 2025

Implementing drip irrigation technology in water-scarce regions is a key development direction for modern agriculture. This paper proposes multi-constraint optimization model based on particle swarm optimization-genetic algorithm (PSO-GA) to minimize the annual cost of construction, energy consumption, and maintenance pipe network. case study shows that PSO-GA significantly better than traditional empirical method, (PSO), genetic (GA), an Atom Search Optimization (ASO) pipeline’s network parameters, total reduced by 21.2%, 15.9%, 7.5%, 6.3%, respectively. The average 166,200 yuan/year, constraint satisfaction rate node pressure flow with single algorithm. After optimization, diameter main gradually from 200 mm 160 mm, number branch pipes five four, pump head 25.7%, consumption 26.7%. provides powerful tool system designers achieve efficient parameters costs systems.

Language: Английский

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