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
Link To Document :
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