Genetic Algorithm Theory and Its Application
- https://doi.org/10.2991/amcce-18.2018.90How to use a DOI?
- Genetic algorithm; Theory; Application
Genetic Algorithm (GA) is a very effective optimization solution method. It can provide faster and better results than some traditional optimization methods for the control structures and control functions in the control field. It can be said that the intelligent connection of GA and CAD software packages for high-precision system modeling and controller automation design and parameter optimization will be a new and effective method. The current evolution of GA learning in human beings is still formal. It has not yet been able to portray the evolutionary process of human beings. It has failed to portray the true learning process of neuron thinking.
- © 2018, 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 - Shaojun Yi AU - Shengliang Zou PY - 2018/05 DA - 2018/05 TI - Genetic Algorithm Theory and Its Application BT - Proceedings of the 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018) PB - Atlantis Press SP - 519 EP - 524 SN - 2352-5401 UR - https://doi.org/10.2991/amcce-18.2018.90 DO - https://doi.org/10.2991/amcce-18.2018.90 ID - Yi2018/05 ER -