A Non-need Parameters Optimization Algorithm

DOI

10.2991/ammsa-18.2018.24How to use a DOI?

Keywords

flower pollination algorithm; no parameterization; orthogonal design; function optimization

Abstract

Based on a large number of optimization experiments, the optimal switch probability was discussed. And by the analysis and experiment of local and global pollination, it is found that the global exploration of global pollination was not ideal. In order to integrate the algorithm, this paper designs two kinds of non-need parameters optimization algorithms combined with the idea of orthogonal experiment and based on the following aspects: global exploration, local exploitation, population evolution, and elite reservation. The simulation results of 23 benchmark functions and pressure vessel design problem show that two non-need parameters optimization algorithms have conspicuous advantages in convergence accuracy, convergence speed , stability and engineering optimization.

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  - Jiakui Zhang
AU  - Lijie Cui
AU  - Qing Guo
AU  - Haoran Chen
PY  - 2018/05
DA  - 2018/05
TI  - A Non-need Parameters Optimization Algorithm
BT  - Proceedings of the 2018 2nd International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2018)
PB  - Atlantis Press
SP  - 110
EP  - 119
SN  - 1951-6851
UR  - https://doi.org/10.2991/ammsa-18.2018.24
DO  - 10.2991/ammsa-18.2018.24
ID  - Zhang2018/05
ER  -