Research on Network Optimization Based on Simulated Annealing Genetic Algorithm

DOI

10.2991/icmmct-17.2017.260How to use a DOI?

Keywords

simulated annealing algorithm, genetic algorithm, network optimization

Abstract

The practicability of the neural network is often affected by the network structure, needing optimization. We introduce the genetic algorithm into the simulated annealing algorithm to propose a new algorithm named the simulated annealing genetic algorithm, which combines the advantages of the two algorithms. The result shows that compared with the genetic algorithm and simulated annealing algorithm, the number of iterations of simulated annealing is fewer and the time of iterations is less.

Copyright

© 2017, 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  - Xinyun Chen
PY  - 2017/04
DA  - 2017/04
TI  - Research on Network Optimization Based on Simulated Annealing Genetic Algorithm
BT  - Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
PB  - Atlantis Press
SP  - 1349
EP  - 1354
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-17.2017.260
DO  - 10.2991/icmmct-17.2017.260
ID  - Chen2017/04
ER  -