An Improved Complex System Optimization Method Hybridized Structure-based Neural Networks with Orthogonal Genetic Algorithm

DOI

10.2991/cmes-15.2015.138How to use a DOI?

Keywords

Optimal design, genetic algorithm, neural network, knowledge.

Abstract

The research on optimization methods to complex systems is an important issue in both theoretical and practical significance. For this reason, an improved complex system optimization method is proposed which hybridized the structure-based neural networks with the orthogonal genetic algorithm. Experimental results suggest that this approach outperforms other existing approaches.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Si-Jun Tao
PY  - 2015/04
DA  - 2015/04
TI  - An Improved Complex System Optimization Method Hybridized Structure-based Neural Networks with Orthogonal Genetic Algorithm
BT  - Proceedings of the 2nd International Conference on Civil, Materials and Environmental Sciences
PB  - Atlantis Press
SP  - 499
EP  - 502
SN  - 2352-5401
UR  - https://doi.org/10.2991/cmes-15.2015.138
DO  - 10.2991/cmes-15.2015.138
ID  - Tao2015/04
ER  -