Sustainable utilization study and assessment of water resources based on artificial fish swarm algorithms

Author

Shi, Changying

Author_Institution

Inst. of Water Conservancy & Electr. Power, Heilongjiang Univ., Harbin, China

fYear

2011

fDate

24-26 June 2011

Firstpage

5449

Lastpage

5453

Abstract

Artificial fish swarm algorithm is a parallel optimization one suggested imitating fishes action based on animal self-command. It is high performance and fast optimization strategy. It has offered a new way for solving some non-convex non-linear optimization problem. Artificial fish swarm algorithm has been used multi-criteria parameters composite model optimization of Chaohe river basin sustainable utilization assessment of water resources by basin sustainable development feature. The evaluation equation has been gotten fitting for Chaohe river basin and the computing results accord with fact basically.

Keywords

particle swarm optimisation; rivers; sustainable development; water resources; Chaohe river basin; artificial fish swarm algorithms; nonconvex nonlinear optimization problem; parallel optimization; sustainable development; sustainable utilization assessment; water resources assessment; Marine animals; Mathematical model; Optimization; Power systems; Rivers; Visualization; Water resources; artificial fish swarm algorithms; assessment; sustainable utilization; water resources;

fLanguage

English

Publisher

ieee

Conference_Titel

Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4244-9172-8

Type

conf

DOI

10.1109/RSETE.2011.5965548

Filename

5965548