The Application of Hybrid Genetic Algorithms Model in Solving Product Optimization Problem
- https://doi.org/10.2991/iccsee.2013.722How to use a DOI?
- genetic algorithms, hybrid genetic algorithms, product optimization, fitness function
We introduce basic theory of genetic algorithms in this paper, Build one hybrid genetic algorithms model base on genetic algorithms in solving product optimization problem. And we realize the model by software. The disposal result of real data tells us that the model has good practicability and accuracy to the problem of product optimization problem.
- © 2013, 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/).
Cite this article
TY - CONF AU - Xiufeng Shao AU - Jian Zhang AU - Li Li PY - 2013/03 DA - 2013/03 TI - The Application of Hybrid Genetic Algorithms Model in Solving Product Optimization Problem BT - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013) PB - Atlantis Press SP - 2893 EP - 2896 SN - 1951-6851 UR - https://doi.org/10.2991/iccsee.2013.722 DO - https://doi.org/10.2991/iccsee.2013.722 ID - Shao2013/03 ER -