Hybrid algorithm based on artificial fish swarm algorithm and tabu search in distribution network reconfiguration

This paper proposed a distribution network reconfiguration algorithm based on artificial fish swam algorithm (AFSA) and tabu search (TS). The proposed algorithm combines the wide-area search capability of AFSA and the local optimization capability of TS, effectively overcomes the lack of using a sin...

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Vydáno v:2010 International Conference On Computer Design and Applications Ročník 5; s. V5-415 - V5-418
Hlavní autoři: Gao Zhong-hui, Ding Jian-yong, Liu Heng
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.06.2010
Témata:
Algorithm design and analysis
artificial fish swarm algorithm (AFSA)
Computer networks
Design optimization
Distributed computing
distribution network reconfiguration
Graph theory
Heuristic algorithms
Home computing
homeomorphism graph
Marine animals
tabu search (TS)
Testing
Voltage
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Abstract This paper proposed a distribution network reconfiguration algorithm based on artificial fish swam algorithm (AFSA) and tabu search (TS). The proposed algorithm combines the wide-area search capability of AFSA and the local optimization capability of TS, effectively overcomes the lack of using a single optimization algorithm, and improves the global optimization ability by using homeomorphism graph theory to compress the global search space. The new algorithm is applied in two testing cases with different node numbers and is compared with other algorithms; meanwhile, the parameters of algorithm are discussed in depth. The results show that the proposed algorithm is advantaged in convergence efficiency, global search ability and stability.
AbstractList This paper proposed a distribution network reconfiguration algorithm based on artificial fish swam algorithm (AFSA) and tabu search (TS). The proposed algorithm combines the wide-area search capability of AFSA and the local optimization capability of TS, effectively overcomes the lack of using a single optimization algorithm, and improves the global optimization ability by using homeomorphism graph theory to compress the global search space. The new algorithm is applied in two testing cases with different node numbers and is compared with other algorithms; meanwhile, the parameters of algorithm are discussed in depth. The results show that the proposed algorithm is advantaged in convergence efficiency, global search ability and stability.
Author Ding Jian-yong
Liu Heng
Gao Zhong-hui
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  surname: Gao Zhong-hui
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  surname: Ding Jian-yong
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  surname: Liu Heng
  fullname: Liu Heng
  email: liuheng198775@yahoo.com.cn
  organization: Sch. of Electr. Eng., Wuhan Univ., Wuhan, China
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Snippet This paper proposed a distribution network reconfiguration algorithm based on artificial fish swam algorithm (AFSA) and tabu search (TS). The proposed...
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SubjectTerms Algorithm design and analysis
artificial fish swarm algorithm (AFSA)
Computer networks
Design optimization
Distributed computing
distribution network reconfiguration
Graph theory
Heuristic algorithms
Home computing
homeomorphism graph
Marine animals
tabu search (TS)
Testing
Voltage
Title Hybrid algorithm based on artificial fish swarm algorithm and tabu search in distribution network reconfiguration
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