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Indexed by:期刊论文

Date of Publication:2022-06-28

Journal:系统工程理论与实践

Affiliation of Author(s):建设工程学部

Issue:6

Page Number:1118-1125

ISSN No.:1000-6788

Abstract:To improve the optimization capability of traditional artificial fish swarm algorithm (AFSA), an improved AFSA is proposed and used for optimal operation for cascade reservoirs. The dynamic adjustment method for the vision and step of artificial fish is adopted in improved ASFA, which can improve the abilities of searching the global and local extremum. Then, aiming at the problem of low convergence speed induced by the large individual space gap between before and after update operation, the threshold selection strategy is used in the local update operation. Finally, the validity of the improved AFSA is verified through case study, and the threshold parameters are also calibrated by numerical experiment.

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