NDLI: Improved Bacterial Colony Chemotaxis Algorithm and its Application in Available Transfer Capability

Content Provider	IEEE Xplore Digital Library
Author	Guo-qing Li Hai-liang Liao Hou-he Chen
Copyright Year	2009
Abstract	This paper presents an Improved Bacterial Colony Chemotaxis (IBCC) algorithm based on BCC. In this paper, the optimization of n-dimensional problem is simplified as the optimization of n-1 sub-problems of 2-dimension by presenting the new formulation. As for the searching characteristic of a cell and colony, self-adaptive adjustment error parameter strategy is introduced. The strategy automatically adjusts the step length and the direction of bacterium; the employment of bulletin can remain the best direction of bacterium which may be abandoned at random. These strategies above improve the convergence speed and the capability of searching for the global optimum. Two test functions show IBCC algorithm a kind of potentially powerful optimization method. Finally, the IBCC algorithm is employed to solve the Available Transfer Capability (ATC) problem. A case study of IEEE 30-bus test system demonstrated the validity of this proposed algorithm.
Starting Page	286
Ending Page	291
File Size	1003215
Page Count	6
File Format	PDF
ISBN	9780769537368
DOI	10.1109/ICNC.2009.222
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	System testing Microorganisms Biological system modeling Employment Optimization methods Biological processes Probability distribution Marine animals Power system modeling Convergence
Content Type	Text
Resource Type	Article

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