Firefly algorithm: Difference between revisions

Revision as of 02:14, 27 July 2016

Revision as of 02:15, 27 July 2016

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Implementations should be explained by employing standard optimization terminology, where a solution is called a "solution" and not something else related to some obscure metaphor (e.g., [[harmony search|harmony]], flies, [[bat algorithm|bats]], countries, etc.).

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The firefly algorithm specifically has been criticized as differing from the well-established [[particle swarm optimization]] only in a negligible way.<ref>{{cite journal|first=Michael A.|last=Lones|year=2014|title=Metaheuristics in Nature-Inspired Algorithms|journal=[[Genetic and Evolutionary Computation Conference|GECCO '14]]|url=http://www.macs.hw.ac.uk/~ml355/common/papers/lones-gecco2014-metaheuristics.pdf|doi=10.1145/2598394.2609841|quotaquote=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.}}</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>

== Metaphor ==