Logo der Universität Wien

A Cooperative Framework for Fireworks Algorithm

Abstract

This paper presents a cooperative framework for fireworks algorithm (CoFFWA). A detailed analysis of existing fireworks algorithm (FWA) and its recently developed variants has revealed that (i) the selection strategy lead to the contribution of the firework with the best fitness (core firework) for the optimization overwhelms the contributions of the rest of fireworks (non-core fireworks) in the explosion operator, (ii) the Gaussian mutation operator is not as effective as it is designed to be. To overcome these limitations, the CoFFWA is proposed, which can greatly enhance the exploitation ability of non-core fireworks by using independent selection operator and increase the exploration capacity by crowdness-avoiding cooperative strategy among the fireworks. Experimental results on the CEC2013 benchmark functions suggest that CoFFWA outperforms the state-of-the-art FWA variants, artificial bee colony, differential evolution, the standard particle swarm optimization (SPSO) in 2007 and the most recent SPSO in 2011 in term of convergence

Grafik Top
Authors
Grafik Top
Citation
Category
Journal Paper
Divisions
Theory and Applications of Algorithms
Subjects
Kuenstliche Intelligenz
Informatik Sonstiges
Journal or Publication Title
IEEE/ACM Transactions on Computational Biology and Bioinformatics
ISSN
1545-5963
Publisher
IEEE COMPUTER SOC
Date
November 2015
Export
Grafik Top
Contact us
Faculty of Computer Science
University of Vienna

Währinger Straße 29
A-1090 Vienna