A hybrid least square-fuzzy bacterial foraging strategy for harmonic estimation
IEEE Transactions on Evolutionary Computation
Cooperative Approaches to Bacterial Foraging Optimization
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
Stability of the chemotactic dynamics in bacterial foraging optimization algorithm
CSTST '08 Proceedings of the 5th international conference on Soft computing as transdisciplinary science and technology
Expert Systems with Applications: An International Journal
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
Expert Systems with Applications: An International Journal
Adaptive computational chemotaxis in bacterial foraging optimization: an analysis
IEEE Transactions on Evolutionary Computation
On stability of the chemotactic dynamics in bacterial-foraging optimization algorithm
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Cooperative bacterial foraging algorithm for global optimization
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Bacterial foraging with quorum sensing based optimization algorithm
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
Stability analysis of the reproduction operator in bacterial foraging optimization
Theoretical Computer Science
New inspirations in swarm intelligence: a survey
International Journal of Bio-Inspired Computation
A novel bacterial foraging technique for edge detection
Pattern Recognition Letters
Numerical optimization using synergetic swarms of foraging bacterial populations
Expert Systems with Applications: An International Journal
An adaptive bacterial foraging algorithm for fuzzy entropy based image segmentation
Expert Systems with Applications: An International Journal
Bacterial Foraging Optimization
International Journal of Swarm Intelligence Research
A multidimensional scaling localisation algorithm based on bacterial foraging optimisation
International Journal of Wireless and Mobile Computing
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An optimal location and parameters of an UPFC along with values of OLTC taps are tuned with a view to minimize the real power losses of a mesh power network. This issue is formulated as a non-linear equality and inequality constrained optimization problem with an objective function incorporating power loss. A new evolutionary algorithm known as Bacteria Foraging is applied for solving, the optimum location and the amount of series injected voltage for the UPFC, and the best values of the taps present in the system. The same problem is also solved with Interior Point Successive Linearization technique using the LINPROG command of MATLAB. A comparison between the two suggests the superiority of the proposed algorithm.