Title :
Applying ant colony optimization to search all extreme points of function
Author :
Chao-Yang Pang ; Xia Li ; Hui Liu ; Yun-Fei Wang ; Ben-Qiong Hu
Author_Institution :
Group of Gene Comput., Key Lab. of Visual Comput. & Virtual Reality of Sichuan Province, Chengdu, China
Abstract :
To find all extreme points of multimodal functions is called extreme problem, which is a well known difficult issue in optimization fields. Applying the ant colony optimization (ACO) to solve this problem is rarely reported. The method of applying ACO to solve extreme problem is explored in this paper. Experiments show that the method presented in this paper generates solution with high quality, and its solution error is less than 10-8.
Keywords :
functional analysis; optimisation; ant colony optimization; extreme points; multimodal functions; Ant colony optimization; Chaos; Cities and towns; Clustering algorithms; Computer science; Convergence; Heuristic algorithms; Mathematics; Traveling salesman problems; Virtual reality; Ant Colony Optimization (ACO); extremum problem;
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2010 the 5th IEEE Conference on
Conference_Location :
Taichung
Print_ISBN :
978-1-4244-5045-9
Electronic_ISBN :
978-1-4244-5046-6
DOI :
10.1109/ICIEA.2010.5514672
