Solution for a Kind of Dynamic Optimization Based on Improved Krill Herd Algorithm
- https://doi.org/10.2991/msam-18.2018.32How to use a DOI?
- dynamic optimization; krill herd algorithm; adaptive cauchy mutation; CVP method; good point sets method; speed factor
Considering a kind of dynamic optimization, an improved krill herd (KH) algorithm which is called GSA-KH is proposed in this paper. The improvements consist of three parts: 1) a good point set is constructed to obtain the initial krill population which can promote the representativeness of the initial population; 2) the speed factor is updated according to the changes of the krill population to accelerate the convergence; 3) an adaptive Cauchy mutation is employed so that the algorithm can escape the local optimum reasonably. Simulations on six test functions illustrate that the convergence and accuracy of GSA-KH algorithm are increased greatly than standard KH algorithm. Then the proposed algorithm is applied to solving a dynamic optimization cases.
- © 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 - Xingjun Yuan AU - Yulei Ge AU - Hao Lu PY - 2018/07 DA - 2018/07 TI - Solution for a Kind of Dynamic Optimization Based on Improved Krill Herd Algorithm BT - Proceedings of the 2018 3rd International Conference on Modelling, Simulation and Applied Mathematics (MSAM 2018) PB - Atlantis Press SP - 146 EP - 151 SN - 1951-6851 UR - https://doi.org/10.2991/msam-18.2018.32 DO - https://doi.org/10.2991/msam-18.2018.32 ID - Yuan2018/07 ER -