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An Improved Artificial Fish Swarm Algorithm for Optimal Operation of Cascade Reservoirs | Peng | Journal of Computers
Journal of Computers, Vol 6, No 4 (2011), 740-746, Apr 2011
doi:10.4304/jcp.6.4.740-746

An Improved Artificial Fish Swarm Algorithm for Optimal Operation of Cascade Reservoirs

Yong Peng

Abstract


Based on traditional artificial fish swarm algorithm (AFSA), an improved artificial fish swarm algorithm (IAFSA) is proposed and used to solve the problem of optimal operation of cascade reservoirs. To improve the ability of searching the global and the local extremum, the vision and the step of artificial fish are adjusted dynamicly in IAFSA. Moreover, to increase the convergence speed, the threshold selection strategy is employed to decrease the individual large space gap between before and after update operation in the local update operation. The validity of IAFSA is proved by case study and the threshold parameters of IAFSA are rated.


Keywords


Reservoir operation;Optimization;Hydroelectric power generation

References


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