Title :
A hybrid ant colony algorithm for global optimization of continuous multi-extreme functions
Author :
Ge, Yan ; Meng, Qing-Chun ; Yan, Wan-Jun ; Xu, Jing
Author_Institution :
Dept. of Comput. Sci., Ocean Univ. of China, Qingdao, China
Abstract :
A hybrid optimization technique is proposed for global optimization of continuous multi-extreme functions. The scheme incorporates a deterministic searching algorithm (the Powell method) into the ant colony algorithm. This hybrid method can improve the optimization performance and enhance the fast convergence during the local search of the ant colony algorithm. Experimental results of the global optimization of two continuous multi-extreme functions indicate the effectiveness and the applicability of the proposed algorithm.
Keywords :
convergence; deterministic algorithms; optimisation; search problems; continuous multiextreme function; deterministic search algorithm; global optimization; hybrid ant colony algorithm; Algorithm design and analysis; Ant colony optimization; Computer science; Convergence; Hybrid intelligent systems; Legged locomotion; Marine technology; Oceans; Space exploration; Traveling salesman problems;
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
DOI :
10.1109/ICMLC.2004.1382210
