Firefly algorithm and pattern search hybridized for global optimization

Authors:
Mahdiyeh Eslami;Hussain Shareef;Mohammad Khajehzadeh
Affiliations:
Electrical, Electronic and Systems Engineering Department, National University of Malaysia, Selangor, Malaysia;Electrical, Electronic and Systems Engineering Department, National University of Malaysia, Selangor, Malaysia;Civil Engineering Department, Anar Branch, Islamic Azad University, Anar, Iran
Venue:
ICIC'13 Proceedings of the 9th international conference on Intelligent Computing Theories and Technology
Year:
2013

Citing 6
Cited 0

A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm

Journal of Global Optimization
GSA: A Gravitational Search Algorithm

Information Sciences: an International Journal
Nature-Inspired Metaheuristic Algorithms

Nature-Inspired Metaheuristic Algorithms
An application of swarm optimization to nonlinear programming

Computers & Mathematics with Applications
Firefly algorithms for multimodal optimization

SAGA'09 Proceedings of the 5th international conference on Stochastic algorithms: foundations and applications
A modified gravitational search algorithm for slope stability analysis

Engineering Applications of Artificial Intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

Firefly optimization algorithm is one of the latest swarm intelligence based optimization algorithm. A new hybrid optimization algorithm, which combines pattern search with firefly algorithm, namely FAPS, is proposed for numerical global optimization. There are two alternative phases of the proposed algorithm: the global exploration phase realized by firefly algorithm and the exploitation phase completed by pattern search. The performance of the proposed FAPS algorithm was tested on a comprehensive set of benchmark functions. The numerical experiments demonstrate that the new algorithm has high viability, accuracy and stability and the performance of firefly algorithm is much improved by introducing a pattern search method.