DocumentCode :
3270623
Title :
Improvement in Extension of Ant Colony Optimization and its appliance
Author :
Bai, Ji-Yun ; Li, Shi-Yong
Author_Institution :
Dept. of Control Sci. & Eng., Harbin Inst. of Technol., Harbin, China
fYear :
2011
fDate :
18-20 Jan. 2011
Firstpage :
557
Lastpage :
560
Abstract :
Extension of Ant Colony Optimization (ACOR) had proposed by Dorigo in 2008, which could well solve optimization problems in continuous space. This paper combined Genetic Algorithm with ACOR to overcome ACOR´s disadvantages of slow convergence speed and great probability of converging to local optimum, as is proved by simulation analysis in neural network weights optimizing.
Keywords :
genetic algorithms; neural nets; ant colony optimization; convergence speed; genetic algorithm; neural network weights optimization; Silicon; Silicon compounds; Extension of Ant Colony Optimization; Genetic Algorithm; Neural Network; Parameter Optimizing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computer Control (ICACC), 2011 3rd International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-8809-4
Electronic_ISBN :
978-1-4244-8810-0
Type :
conf
DOI :
10.1109/ICACC.2011.6016475
Filename :
6016475
Link To Document :
https://search.ricest.ac.ir/dl/search/defaultta.aspx?DTC=49&DC=3270623
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