Referenced Items are not available for this document.
To solve the problem of network expansion, an improved particle swarm optimization algorithm (PSO) is proposed in this paper. This method initialized the particle swarm according to borderline search mind, made the initialized particle near the safety line, overcomes the defect of the uncertainty in the rational distribution of particle initialization, optimizing the range of the initialization. Numerical simulation results of power transmission network planning demonstrate the feasibility and efficiency of this method, and shed new light on the further improving of PSO
Published in:
Machine Learning and Cybernetics, 2006 International Conference on
Date of Conference: 13-16 Aug. 2006
- Page(s):
- 2846 - 2850
- Print ISBN:
- 1-4244-0061-9
- INSPEC Accession Number:
- 9155249
- Conference Location :
- Dalian, China
- Digital Object Identifier :
- 10.1109/ICMLC.2006.259067
- Product Type:
- Conference Publications
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