DocumentCode
1789808
Title
An intelligent algorithm based on neural network for combinatorial optimization problems
Author
Cui Zhang ; Qiang Li ; Ronglong Wang
Author_Institution
Dept. of Autocontrol, Liaoning Inst. of Sci. & Technol., Benxi, China
fYear
2014
fDate
14-16 Oct. 2014
Firstpage
950
Lastpage
954
Abstract
In this paper, we construct a Hopfield-type neural network to solve combinatorial optimization problems which is very important to medicine and biology. We applied the neural network to the four-coloring map problems to show that the neural network is capable of finding 100 percent optimal solution in a short time.
Keywords
Hopfield neural nets; biology computing; combinatorial mathematics; medical computing; optimisation; Hopfield-type neural network; combinatorial optimization problems; four-coloring map problems; intelligent algorithm; Biological neural networks; Convergence; Hopfield neural networks; Hysteresis; Mathematical model; Neurons; Optimization; Combinatorial optimization problems; Four-coloring map problems; Intelligent algorithm; binary neuron model;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Engineering and Informatics (BMEI), 2014 7th International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-4799-5837-5
Type
conf
DOI
10.1109/BMEI.2014.7002909
Filename
7002909
Link To Document