Paper Info
Title
Optimal hydropower station dispatch using quantum social spider optimization algorithm
Abstract
In this article, a new quantum social spider optimization (QSSO) algorithm is proposed. In the QSSO algorithm, we introduce an encoding approach based on bits described on social spider optimization (SSO) and serves as the evolution method of the population space. For the encoding of individuals, the probability amplitude expression of quantum bit is applied to describe the position of individuals, by which one individual's position can be expressed as the superposition of multistates. In such a way, the population diversity and the global searching capability of the SSO algorithm are enhanced. The QSSO algorithm was used to optimize the hydropower station dispatch, and the calculation results show that QSSO algorithm has fast convergence, small number of tuning parameters, high calculation accuracy, stability, simple, and is easy to be implemented with strong global search capability.
Year
DOI
Venue
2022
10.1002/cpe.5782
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
Keywords
DocType
Volume
hydropower station dispatch, metaheuristic optimization, quantum encoding, quantum social spider optimization
Journal
34
Issue
ISSN
Citations 
9
1532-0626
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Guo Zhou132.74
Ruxin Zhao200.34
Qifang Luo300.34
Yongquan Zhou443148.08