Firefly algorithm: Difference between revisions

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Revision as of 04:40, 11 March 2019

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In [[mathematical optimization]], the '''firefly algorithm''' is a [[metaheuristic]] proposed by [[Xin-She Yang]] and inspired by the flashing behavior of [[firefly|fireflies]].<ref>{{cite book |first=X. S. |last=Yang |title=Nature-Inspired Metaheuristic Algorithms |publisher=[[Luniver Press]] |year=2008 |isbn=978-1-905986-10-61 }}</ref>

== Metaphor ==

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== Criticism ==

Nature-inspired [[Metaheuristic|metaheuristics]] in general have attracted [[List of metaphor-inspired metaheuristics#Criticism of the metaphor methodology|criticism in the research community]] for hiding their lack of novelty behind an elaborate metaphor. The firefly algorithm has been criticized as differing from the well-established [[particle swarm optimization]] only in a negligible way.<ref>{{cite journal|first1=Omid N.|last1=Almasi| first2=Modjtaba|last2= Rouhani|year=2016|title=A new fuzzy membership assignment and model selection approach based on dynamic class centers for fuzzy SVM family using the firefly algorithm|journal=Turkish Journal of Electrical Engineering & Computer sciencesSciences|volume=4| pages=1-19|url=http://journals.tubitak.gov.tr/elektrik/issues/elk-16-24-3/elk-24-3-77-1310-253.pdf1–19|doi=10.3906/elk-1310-253|quote= Practical application of FA on UCI datasets.}}</ref><ref>{{cite journal|first=Michael A.|last=Lones|year=2014|title=Metaheuristics in Nature-Inspired Algorithms|journal=[[Genetic and Evolutionary Computation Conference|GECCO '14]]|pages=1419–1422|url=http://www.macs.hw.ac.uk/~ml355/common/papers/lones-gecco2014-metaheuristics.pdf|doi=10.1145/2598394.2609841|quote=FA, on the other hand, has little to distinguish it from PSO, with the inverse-square law having a similar effect to crowding and fitness sharing in EAs, and the use of multi-swarms in PSO.|isbn=9781450328814|citeseerx=10.1.1.699.1825}}</ref><ref>{{cite journal|first=Dennis|last=Weyland|year=2015|url=http://www.sciencedirect.com/science/article/pii/S221471601500010X|title=A critical analysis of the harmony search algorithm—How not to solve sudoku|journal=Operations Research Perspectives|volume=2|pages=97–105|doi=10.1016/j.orp.2015.04.001|quote=For example, the differences between the particle swarm optimization metaheuristic and "novel" metaheuristics like the firefly algorithm, the fruit fly optimization algorithm, the fish swarm optimization algorithm or the cat swarm optimization algorithm seem negligible.}}</ref>

==See also==