DocumentCode
560317
Title
Verify Election Campaign Optimization Algorithm by Several Optimization Problems
Author
Jie, Yang ; Wenge, Lv ; Mingyu, He ; Hong, Zhang
Author_Institution
Fac. of Electromech. Eng., Guangdong Univ. of Technol., Guangzhou, China
Volume
1
fYear
2011
fDate
26-27 Nov. 2011
Firstpage
543
Lastpage
546
Abstract
Election Campaign Optimization Algorithm is a novel heuristic optimization algorithm, which simulates the motivation of election candidates to the highest support in campaign. This algorithm is easy to understand and optimize performance is good. This algorithm also can achieve optimal value in the global convergence, thought the MATLAB numberical experiments show that good results. Get the optimum value of problems is the target which people pursue. The study of optimization algorithm is always a hotspot of optimal design theory research. Many kinds of optimization problems, both in academic research and application technology, can generalize constrained optimization problems. More and more scholars are engaged in applied research of various heuristic algorithm on constrained optimization because of the shortcoming of classic algorithm. In this paper, several functions of optimization problems are used to verify this algorithm.
Keywords
convergence of numerical methods; optimisation; politics; search problems; MATLAB numerical experiment; constrained optimization problem; election campaign optimization algorithm; global convergence; heuristic optimization algorithm; optimal design theory research; Algorithm design and analysis; Convergence; Equations; Heuristic algorithms; Mathematical model; Nominations and elections; Optimization; Algorithm; Election Campaign; Engineering Problems; Optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Management, Innovation Management and Industrial Engineering (ICIII), 2011 International Conference on
Conference_Location
Shenzhen
Print_ISBN
978-1-61284-450-3
Type
conf
DOI
10.1109/ICIII.2011.138
Filename
6115095
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