Genetic Algorithm Theory and Its Application

DOI

10.2991/amcce-18.2018.90How to use a DOI?

Keywords

Genetic algorithm; Theory; Application

Abstract

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.

Copyright

© 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/).

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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  - 10.2991/amcce-18.2018.90
ID  - Yi2018/05
ER  -