Signature verification (SV) toolbox: Application of PSO-NN
Engineering Applications of Artificial Intelligence
GCIS '09 Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 02
Comparison among five evolutionary-based optimization algorithms
Advanced Engineering Informatics
Modified shuffled frog leaping algorithm for multi-objective optimal power flow with FACTS devices
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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One of the very important way to save the electrical energy in distribution system is network reconfiguration for loss reduction. This paper proposes a new hybrid evolutionary algorithm for solving the distribution feeder reconfiguration (DFR) problem. The proposed hybrid evolutionary algorithm is the combination of SAPSO (self-adaptive particle swarm optimization) and MSFLA (modified shuffled frog leaping algorithm), called SAPSO-MSFLA, which can find optimal configuration of distribution network. In the PSO algorithm, appropriate adjustment of the parameters is cumbersome and usually requires a lot of time and effort. Therefore, a self-adaptive framework is proposed to improve the robustness of the PSO, also in the modified shuffled frog leaping algorithm (MSFLA) to improve the performance of algorithm a new frog leaping rule is proposed to improve the local exploration of the SFLA. The main idea of integrating SAPSO and MSFLA is to use their advantages and avoid their disadvantages. The proposed algorithm is tested on two distribution test feeders. The results of simulation show that the proposed method is very powerful and guarantees to obtain the global optimization in minimum time.