Modified firefly algorithm
type: Item
instance of: scholarly article
title: Modified firefly algorithm
zbMATH Open document ID: 1268.65082
DOI: 10.1155/2012/467631
author: Surafel Luleseged Tilahun
author: Hong Choon Ong
published in: Journal of Applied Mathematics
publication date: 2013-06-03T00:00:00Z
review text: Summary: The firefly algorithm is one of the new metaheuristic algorithms for optimization problems. The algorithm is inspired by the flashing behavior of fireflies. In the algorithm, randomly generated solutions are considered as fireflies, and brightness is assigned depending on their performance on the objective function. One of the rules used to construct the algorithm is, a firefly will be attracted to a brighter firefly, and if there is no brighter firefly, it will move randomly. In this paper, we modify this random movement of the brighter firefly by generating random directions in order to determine the best direction in which the brightness increases. If such a direction is not generated, it will remain in its current position. Furthermore the assignment of attractiveness is modified in such a way that the effect of the objective function is magnified. From the simulation result it is shown that the modified firefly algorithm performs better than the standard one in finding the best solution with smaller CPU time.
Mathematics Subject Classification ID: 65K05
Mathematics Subject Classification ID: 90C15
Mathematics Subject Classification ID: 90C59
zbMATH DE Number: 6169913
zbMATH Keywords: metaheuristic algorithms
zbMATH Keywords: optimization problems
zbMATH Keywords: firefly algorithm
describes a project that uses: PLCP
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2012/467631
OpenAlex ID: W2138097482
Wikidata QID: Q58905928
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DBLP publication ID: journals/jam/TilahunO12
description: scientific article; zbMATH DE number 6169913