Title :
Improving Genetic Algorithm Performance in Multi-classification Using Simplex Method
Author :
Salar, H. ; Farrokhi, F.
Author_Institution :
Central Tehran Branch, Sci. Assoc. of Electr. & Electron. Eng., Islamic Azad Univ., Tehran, Iran
Abstract :
This paper presents a new hybrid simplex-genetic structure to improve classification´s performance. In this method the simplex local search optimizes some parameters of GA in each generation to perform better. To evaluate the performance of this approach, it was executed on 9 well-known databases. With respect to experiments results, in most cases this method performs better than the simple GA in terms of classification accuracy.
Keywords :
genetic algorithms; pattern classification; classification accuracy; genetic algorithm; multiclassification; simplex local search; simplex-genetic structure; Accuracy; Artificial neural networks; Breast cancer; Classification algorithms; Databases; Hybrid power systems;
Conference_Titel :
Integrated Intelligent Computing (ICIIC), 2010 First International Conference on
Conference_Location :
Bangalore
Print_ISBN :
978-1-4244-7963-4
Electronic_ISBN :
978-0-7695-4152-5
DOI :
10.1109/ICIIC.2010.34
