Summary
International Symposium on Nonlinear Theory and Its Applications
2015
Session Number:B3L-E
Session:
Number:B3L-E-2
Analysis of a Deterministic Firefly Algorithm
Jianze Xiao, Takuya Shindo, Takuya Kurihara, Kenya Jin'no,
pp.614-617
Publication Date:2015/12/1
Online ISSN:2188-5079
Summary:
In recent years, many researchers pay attention to swarm intelligence as the application of the optimization problem solver. Firefly algorithm is one of such swarm intelligence algorithms, it is inspired by the flashing and attracting behavior of fireflies. In this article, we consider a deterministic firefly algorithm to analyze the dynamics rigorously. The state update equation of the deterministic firefly algorithm contains two important parameters; ﾎｲ0 and ﾎｳ. We analyze the effect of the solution search of these parameters. Based on the analysis result, we propose a modified firefly algorithm to improve the solution search performance. We confirm the solution search performance by using CEC benchmark functions.