Study on multi-objective optimization for border irrigation technical parameters combination

Author

Jianwen Li ; Xihuan Sun ; Juanjuan Ma

Author_Institution

Coll. of Water Conservation Sci. & Eng., Taiyuan Univ. of Technol., Taiyuan, China

Volume

4

fYear

2011

fDate

26-28 July 2011

Firstpage

2273

Lastpage

2277

Abstract

In order to raise the irrigation performance and to minimize the deep percolation and/or soil leaching for sustain utilization of soil and water, some combination of technical parameters was derived from intelligent optimization computing based on the valid mathematical model of border irrigation. An improved differential evolution (DE) algorithm was selected to optimize the irrigation technical parameters such as inlet discharge and cutoff time for combined high efficiency. Cased by studying on some testing borders in an irrigation district of Shanxi Province China, the multi-objective problem of technical parameters combination optimization for border irrigation was numerically solved. The results have verified the validity of mathematical model and the efficiency of optimization algorithm.

Keywords

evolutionary computation; irrigation; China; border irrigation technical parameter; deep percolation; differential evolution algorithm; intelligent optimization computing; multiobjective optimization; soil leaching; soil utilization; water utilization; Equations; Irrigation; Mathematical model; Numerical models; Optimization; Soil; Surface treatment; border irrigation; differential evolutionary algorithm; multi-objective optimazation; technical parameters combination;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation (ICNC), 2011 Seventh International Conference on

Conference_Location

Shanghai

ISSN

2157-9555

Print_ISBN

978-1-4244-9950-2

Type

conf

DOI

10.1109/ICNC.2011.6022574

Filename

6022574