Close menu


Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.

A Novel Group-Based Firefly Algorithm with Adaptive Intensity Behaviour

Robson, Adam, Mistry, Kamlesh and Woo, Wai Lok (2023) A Novel Group-Based Firefly Algorithm with Adaptive Intensity Behaviour. Proceedings of the 15th International Conference on Agents and Artificial Intelligence (ICAART 2023), 1. pp. 233-239. ISSN 9789897586231

Item Type: Article


This paper presents novel modifications to the Firefly Algorithm (FA) that manipulate the functionality of the intensity and attractiveness of fireflies through the incorporation of grouping behaviours into the movement of the fireflies. FA is one of the most well-known and actively researched swarm-based algorithms, gaining notoriety for the powerful search capability offered and overall computational simplicity. While the FA is an effective optimisation algorithm, it is unfortunately susceptible to the issue of premature convergence and oscillations within the swarm, which can lead to suboptimal performance. In the original FA formulation, at each iteration fireflies will instinctively move towards the most intensely bright firefly which is in closest proximity to them. The algorithm proposed in this paper manipulates the movement of the fireflies through modification of this intensity and attraction relationship, allowing the swarm to move in different ways, ultimately increasing the search diversity within the swarm. While group-based FAs have been proposed previously, the group-based FAs presented in this paper utilise a different approach to creating groups, implementing groupings based upon firefly performance at each iteration, resulting in continually varying groupings of fireflies, to further increase search diversity and maintain computational simplicity.

[img] PDF
A Novel Group-Based Firefly Algorithm.pdf - Published Version
Restricted to Repository staff only
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (481kB) | Request a copy

More Information

Uncontrolled Keywords: Firefly Algorithm (FA), Intensity Behaviour, Attraction, Optimisation, Swarm Intelligence
Depositing User: Adam Robson


Item ID: 16083
Identification Number:
ISSN: 9789897586231

Users with ORCIDS

ORCID for Adam Robson: ORCID iD
ORCID for Kamlesh Mistry: ORCID iD
ORCID for Wai Lok Woo: ORCID iD

Catalogue record

Date Deposited: 31 May 2023 13:25
Last Modified: 11 Jul 2023 08:01


Author: Adam Robson ORCID iD
Author: Kamlesh Mistry ORCID iD
Author: Wai Lok Woo ORCID iD

University Divisions

Faculty of Technology > School of Computer Science


Computing > Data Science
Computing > Artificial Intelligence

Actions (login required)

View Item View Item