Genetic algorithm based fuzzy multi-objective nonlinear programming of regional water allocation

Author

Shurong Li ; Feng Wang ; Tao Ma ; Wei Yan

Author_Institution

Coll. of Inf. & Control Eng., China Univ. of Pet., Dongying

fYear

2008

fDate

21-24 Sept. 2008

Firstpage

1353

Lastpage

1358

Abstract

A genetic algorithm (GA) based approach to solve a fuzzy multi-objective nonlinear programming (FMNP) problem is presented and applied to water resources allocation. A FMNP model of regional water allocation is established originally. The objective functions of the model include three conflicting goals which are economic profits, environment goal and society goal. By turning the FMNP to an optimal level cut problem, the ldquofuzzy optimal solutionrdquo is solved by using a genetic algorithm. An example of the Dongyingpsilas water allocation strategy is provided by using the proposed method.

Keywords

fuzzy systems; genetic algorithms; nonlinear programming; water resources; fuzzy multiobjective nonlinear programming; fuzzy optimal solution; genetic algorithm; regional water allocation; water resources allocation; Control engineering; Educational institutions; Environmental economics; Fuel economy; Fuzzy control; Genetic algorithms; Oxygen; Petroleum; Resource management; Water resources; fuzzy multi-objective programming; fuzzy optimal solution; genetic algorithm; water resource optimal allocation;

fLanguage

English

Publisher

ieee

Conference_Titel

Cybernetics and Intelligent Systems, 2008 IEEE Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-1673-8

Electronic_ISBN

978-1-4244-1674-5

Type

conf

DOI

10.1109/ICCIS.2008.4670762

Filename

4670762