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
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;
Conference_Titel :
Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-0689-8
DOI :
10.1109/ICCSEE.2012.37
