Title :
Hybrid Approach for TSP Based on Neural Networks and Ant Colony Optimization
Author :
Dr. Carsten Mueller;Niklas Kiehne
Author_Institution :
Dept. of Inf. Technol., Univ. of Econ., Prague, Czech Republic
Abstract :
This research article presents a hybrid approach based on an intelligent combination of artificial ants and neurons. Research on different parameter combinations are performed, in order to find the best performing parameter settings. The obtained insights are then subsumed into an intelligent architecture consisting of ACO and SOM.
Keywords :
"Neurons","Training","Artificial neural networks","Biological neural networks","Cities and towns","Ant colony optimization","Topology"
Conference_Titel :
Computational Intelligence, 2015 IEEE Symposium Series on
Print_ISBN :
978-1-4799-7560-0
DOI :
10.1109/SSCI.2015.203
