Research on Chaos Electromagnetic Mechanism Fusion Algorithm Based on Logistic Mapping
- 10.2991/msam-18.2018.46How to use a DOI?
- nonlinear systems; logistic mapping; EM algorithm; multi-objective optimization; chaos local search; charged particles
For multi-component, strong nonlinear systems, especially when considering component elasticity and gaps, it is difficult to obtain high-order information such as required gradients through calculations. It will face problems such as fewer iterations and inconspicuous optimization results, and because of the objective function. The non-linear features make it difficult to achieve optimal calculations. In this paper, by introducing Logistic chaotic maps to enrich the search behavior, the global optimization ability of the standard electromagnetic algorithm is improved. The test results show that the improved EM algorithm introduced with the chaos mechanism, the CEM algorithm, improves both the accuracy of the solution and the convergence efficiency. For solving high-dimensional function optimization problems. At the same time, it is found that the better initial population is of great significance for speeding up the optimization process, and the initial fitness can be improved by adopting multiple initial population selection and setting elite solutions.
- © 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 - Xunlai He AU - Junhui Yin AU - Weizhao Zhang AU - Zhenqian Yang PY - 2018/07 DA - 2018/07 TI - Research on Chaos Electromagnetic Mechanism Fusion Algorithm Based on Logistic Mapping BT - Proceedings of the 2018 3rd International Conference on Modelling, Simulation and Applied Mathematics (MSAM 2018) PB - Atlantis Press SP - 218 EP - 222 SN - 1951-6851 UR - https://doi.org/10.2991/msam-18.2018.46 DO - 10.2991/msam-18.2018.46 ID - He2018/07 ER -