Title :
Sustainable utilization study and assessment of water resources based on artificial fish swarm algorithms
Author_Institution :
Inst. of Water Conservancy & Electr. Power, Heilongjiang Univ., Harbin, China
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;
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9172-8
DOI :
10.1109/RSETE.2011.5965548