DocumentCode
3104589
Title
Modified Max-Min Ant Colony System for Solving Pseudo-Boolean Optimization Problem
Author
Zhen, Liu ; Zhou Yu Ren
Author_Institution
Sch. of Comput. Sci. & Eng., South China Univ. of Technol., GuangZhou, China
fYear
2009
fDate
13-14 Dec. 2009
Firstpage
132
Lastpage
135
Abstract
Based on the max-min ant system solving the Pseudo-Boolean Optimization problem, we improved the process of solving the problem. An memory array is introduced to record changes of each bit string, memory array to be used for optimization of the solution of the current iteration. Such improvements will help improve the convergence rate of Max-Min ant colony algorithm. The improved algorithm was applied to solve the problem of Pseudo-Boolean functions. Experiments show a reduction in the number of iteration before achieving the optimal which indicating the effectiveness and Superiority of the algorithm.
Keywords
Boolean functions; minimax techniques; memory array; modified max-min ant colony system; pseudo-Boolean function; pseudo-Boolean optimization problem; Ant colony optimization; Chaotic communication; Conference management; Engineering management; Feedback; Information management; Information technology; Network servers; Queueing analysis; Technology management;
fLanguage
English
Publisher
ieee
Conference_Titel
Future Information Technology and Management Engineering, 2009. FITME '09. Second International Conference on
Conference_Location
Sanya
Print_ISBN
978-1-4244-5339-9
Type
conf
DOI
10.1109/FITME.2009.38
Filename
5380912
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