Title :
Election Campaign Optimization Algorithm for Multi-peak Optimization Problems
Author :
Wenge, Lv ; Zhiyong, Liu ; Deyuan, Li ; Siyuan, Cheng ; Shaoming, Luo ; Xiangwei, Zhang ; Zeyu, Chen
Author_Institution :
Fac. of Electromech. Eng., Guangdong Univ. of Technol., Guangzhou, China
Abstract :
Multi-peak Optimization problems are solved by Election Campaign Optimization algorithm. 3 Multi-peak Optimization problems are selected as examples to verify this algorithm. It is found that Election Campaign Optimization algorithm can jump out of local peaks easily and search out the all global optimal solution of Multi-peak Optimization problems simultaneously. It means that Election Campaign Optimization algorithm is a high efficient optimization algorithm for Multi-peak Optimization problems.
Keywords :
optimisation; election campaign optimization algorithm; global optimal solution; local peaks; multipeak optimization problems; Gaussian distribution; Heuristic algorithms; Marine vehicles; Mechanical engineering; Nominations and elections; Rail transportation; algorithm; election campaign; multi-peak; optimization;
Conference_Titel :
Information and Computing (ICIC), 2010 Third International Conference on
Conference_Location :
Wuxi, Jiang Su
Print_ISBN :
978-1-4244-7081-5
Electronic_ISBN :
978-1-4244-7082-2
DOI :
10.1109/ICIC.2010.223
