Title :
Solving Roots of Complex Functional Equation Based on Improved Ant Colony Algorithm
Author :
Wu, Hao ; Ni, Zhiwei ; Ni, Liping
Author_Institution :
Sch. of Manage., Hefei Univ. of Technol., Hefei, China
Abstract :
In this paper, some traditional methods used to solve complex functional equation were introduced at first, and then an improved ant colony algorithm based on DE operation is proposed. In the following, the algorithm given in this paper was utilized to get roots of complex functional equation, and satisfactory results are obtained. Some key technologies of the mathematical theory and algorithms about solving roots of complex equations were also discussed in this paper.
Keywords :
differential equations; functional equations; optimisation; ant colony algorithm; complex functional equation; differential equation operation; mathematical theory; Appraisal; Equations; Genetic algorithms; Inference algorithms; Mathematical model; Optimization; Publishing;
Conference_Titel :
E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on
Conference_Location :
Henan
Print_ISBN :
978-1-4244-7159-1
DOI :
10.1109/ICEEE.2010.5661471