Self-adaptive Improvement of Firefly Algorithm for Solving Multimodal Function

DOI

10.2991/ifmca-16.2017.41How to use a DOI?

Keywords

Firefly Algorithm; Self-adaptive; Change Step; Multimodal Function.

Abstract

According to the problem that firefly algorithm converges slowly, easily falls into local optimum value and cannot acquire solutions exactly for solving the multimodal function, a self-adaptive firefly algorithm was proposed through analysis and research. In this new algorithm, parameter g and parameter are self-adaptive, rather than constant. The experimental results of four standard test functions show that this new method is superior to firefly algorithm in convergence and computational precision.

Copyright

© 2017, 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  - Xiaojie Liu
PY  - 2017/03
DA  - 2017/03
TI  - Self-adaptive Improvement of Firefly Algorithm for Solving Multimodal Function
BT  - Proceedings of the 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016)
PB  - Atlantis Press
SP  - 253
EP  - 258
SN  - 2352-5401
UR  - https://doi.org/10.2991/ifmca-16.2017.41
DO  - 10.2991/ifmca-16.2017.41
ID  - Liu2017/03
ER  -