On stability of the chemotactic dynamics in bacterial-foraging optimization algorithm
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Velocity Modulated Bacterial Foraging Optimization Technique (VMBFO)
Applied Soft Computing
Optimal capacitor placement and sizing using Fuzzy-DE and Fuzzy-MAPSO methods
Applied Soft Computing
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In this paper, a new approach in Bacterial Foraging Optimization algorithm is proposed to reduce the total power loss and to improve the voltage profile of the radial distribution systems, in the presence of Distributed Generation unit. The proposed method aims to modify the performance of the Bacterial Foraging Optimization algorithm. The test results obtained from Modified Bacterial Foraging Optimization algorithm are also compared and found to be better and in close agreement with the Bacterial Foraging Optimization algorithm. The achievability and convenience of the optimization methods proposed have been demonstrated on 12-bus, 34-bus, and 69-bus radial distribution system consisting of 11, 33, and 68 sections, respectively. MATLAB, Version 7.10 software is used for simulation.