Title :
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
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;
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
DOI :
10.1109/ICCIS.2008.4670762
