Can I read Application of Local and Global Particle Swarm Optimization Algorithms to Optimal Design and Operation of Irrigation Pumping Systems on EtoBox?

Application of Local and Global Particle Swarm Optimization Algorithms to Optimal Design and Operation of Irrigation Pumping Systems by M. H. Afshar; R. Rajabpour is a Agricultural and Biological Sciences article available to read on EtoBox.

What is Application of Local and Global Particle Swarm Optimization Algorithms to Optimal Design and Operation of Irrigation Pumping Systems about?

## Abstract A particle swarm optimization (PSO) algorithm is used in this paper for optimal design and operation of irrigation pumping systems. An irrigation pumping systems design and management model is first introduced and subsequently solved with the newly introduced PSO algorithm. The solution of the model is carried out in two steps. In the first step an exhaustive enumeration is carried out to find all feasible sets of pump combinations able to cope with a given demand curve over the required period. The PSO algorithm is then called in to search for optimal operation of each set. Having solved the operation problem of all feasible sets, the total cost of operation and depreciation of initial investment is calculated for all the sets and the optimal set and the corresponding optimal operating policy is determined. The proposed model is applied to the design and operation of a real‐world irrigation pumping system and the results are presented and compared with those of a genetic algorithm. Two global and local versions of the PSO algorithm are used and their efficiencies are compared to each other and that of a genetic algorithm (GA) model. The results indicate that the propos

Who reads Application of Local and Global Particle Swarm Optimization Algorithms to Optimal Design and Operation of Irrigation Pumping Systems?

Author

M. H. Afshar; R. Rajabpour

Publisher

John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Inc.; Wiley (ISSN 1531-0353)

Published

2009

Language

EN

Field

Agricultural and Biological Sciences (Physical Sciences)