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ASME Press Select Proceedings
Intelligent Engineering Systems through Artificial Neural Networks Volume 18
Editor
Cihan H. Dagli
Cihan H. Dagli
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ISBN-10:
0791802823
ISBN:
9780791802823
No. of Pages:
700
Publisher:
ASME Press
Publication date:
2008

In this paper, we propose a hybrid Evolutionary Algorithm (EA) for the communication network design. The purpose is to improve Quality of Service (QoS) and provide network reliability. We formulate the problem with minimizing a communication cost as a kind of performance measures for communication network's QoS, at the same time, we also considering the network reliability. We investigate the different encoding, crossover and mutation operators on the performance of EAs to communication network problems. Based on the performance analysis of these encoding methods in EAs, we improve a new hybrid EA approach, in which initialization depends on an underlying random spanning-tree algorithm. Numerical experiments with various scales of communication network problems show the effectiveness and the efficiency of our approach by comparing with the recent researches.

Abstract
Introduction
Problem Statement
Hybrid Evolutionary Algorithm
Experiments and Discussion
Conclusions
Acknowledgments
References
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