DocumentCode
1903537
Title
Global Adaptive Harmony Search Algorithm and Its Application in Rough Set Reduction
Author
Kong, Zhi ; Wang, Lifu ; Wu, Zhaoxia
Author_Institution
Dept. of Autom. & Eng., Qinhuangdao Univ. of Huaguoshan, Qinhuangdao, China
Volume
3
fYear
2012
fDate
23-25 March 2012
Firstpage
572
Lastpage
576
Abstract
Inspired by the particle swarm optimization algorithm, the global information is added to the adaptive harmony search algorithm. The Global adaptive harmony search algorithm is proposed in this paper. Then five criteria are used to test the new algorithm. And its application to attribute reduction is given. The simulation result shows the effectiveness and feasibility of the algorithm.
Keywords
particle swarm optimisation; rough set theory; search problems; attribute reduction; global adaptive harmony search algorithm; global information; particle swarm optimization algorithm; rough set reduction; Approximation methods; Computers; Educational institutions; Genetic algorithms; Optimization; Particle swarm optimization; Vectors; Adaptive Algorithmn; Harmony Search Algorithm; Reduction; Rough set;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-4673-0689-8
Type
conf
DOI
10.1109/ICCSEE.2012.37
Filename
6188239
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