Application of particle swarm optimization to water management: an introduction and overview

• Published in: Environmental monitoring and assessment Vol. 192; no. 5; p. 281
• Main Authors: Jahandideh-Tehrani, Mahsa, Bozorg-Haddad, Omid, Loáiciga, Hugo A.
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.05.2020; Springer Nature B.V
• Subjects: Algorithms; Atmospheric Protection/Air Quality Control/Air Pollution; Bibliometrics; Birds; Contamination; Convergence; Dynamic programming; Earth and Environmental Science; Ecology; Ecotoxicology; Environment; Environmental Management; Evolutionary algorithms; Evolutionary computation; Fronts; Genetic algorithms; Groundwater; Groundwater quality; Groundwater runoff; hydrologic engineering; Hydrologic models; Linear programming; Literature reviews; Marine fishes; Mathematical analysis; Modelling; Monitoring/Environmental Analysis; Mutation; Optimization techniques; Parameter estimation; Particle swarm optimization; Rainfall-runoff modeling; Rainfall-runoff relationships; Reservoir operation; runoff; Simulated annealing; Support vector machines; Velocity; Water management; Water quality; Water resources; Water resources management; Water shortages; Particle swarm optimization; State-of-art review; Evolutionary algorithm; Water resources

Particle swarm optimization (PSO) is a stochastic population-based optimization algorithm inspired by the interactions of individuals in a social world. This algorithm is widely applied in different fields of water resources problems. This paper presents a comprehensive overview of the basic PSO alg...