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Parameter design and performance study on election campaign optimization algorithm

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5 Author(s)
Liang Zhang ; Faculty of Electromechanical Engineering, Guangdong University of Technology, Guangzhou 510006, China ; Wenge Lv ; Cheng Wang ; Siyan Cheng
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The on-line performance and off-line performance are provided to evaluate the performances of Election Campaign Optimization (ECO) algorithm used in functions optimization. The relatively between the selected parameters of ECO and the algorithm performance is analyzed by researching the numerical optimal problem of standard test functions. It is expected to observe the changes of the responses by changing the parameters of ECO so as to get some reference basis of selected parameters. Numerical optimal experimental results of standard test functions show that on-line performance and off-line performance are improved by variation of parameters.

Published in:

Computer Science and Network Technology (ICCSNT), 2011 International Conference on  (Volume:1 )

Date of Conference:

24-26 Dec. 2011