Firefly algorithm (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Firefly algorithm" in English language version.

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Almasi, Omid N.; Rouhani, Modjtaba (2016). "A new fuzzy membership assignment and model selection approach based on dynamic class centers for fuzzy SVM family using the firefly algorithm". Turkish Journal of Electrical Engineering & Computer Sciences. 4: 1–19. doi:10.3906/elk-1310-253. Practical application of FA on UCI datasets.
Lones, Michael A. (2014). "Metaheuristics in nature-inspired algorithms" (PDF). Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation. pp. 1419–1422. CiteSeerX 10.1.1.699.1825. doi:10.1145/2598394.2609841. ISBN 9781450328814. S2CID 14997975. 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.
Weyland, Dennis (2015). "A critical analysis of the harmony search algorithm—How not to solve sudoku". Operations Research Perspectives. 2: 97–105. doi:10.1016/j.orp.2015.04.001. hdl:10419/178253. 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.

Weyland, Dennis (2015). "A critical analysis of the harmony search algorithm—How not to solve sudoku". Operations Research Perspectives. 2: 97–105. doi:10.1016/j.orp.2015.04.001. hdl:10419/178253. 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.

Lones, Michael A. (2014). "Metaheuristics in nature-inspired algorithms" (PDF). Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation. pp. 1419–1422. CiteSeerX 10.1.1.699.1825. doi:10.1145/2598394.2609841. ISBN 9781450328814. S2CID 14997975. 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.

Ariyaratne MKA, Pemarathne WPJ (2015) A review of recent advancements of firefly algorithm: a modern nature inspired algorithm. In: Proceedings of the 8th international research conference, 61–66, KDU, Published November 2015, http://ir.kdu.ac.lk/bitstream/handle/345/1038/com-047.pdf?sequence=1&isAllowed=y

Lones, Michael A. (2014). "Metaheuristics in nature-inspired algorithms" (PDF). Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation. pp. 1419–1422. CiteSeerX 10.1.1.699.1825. doi:10.1145/2598394.2609841. ISBN 9781450328814. S2CID 14997975. 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.

Lones, Michael A. (2014). "Metaheuristics in nature-inspired algorithms" (PDF). Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation. pp. 1419–1422. CiteSeerX 10.1.1.699.1825. doi:10.1145/2598394.2609841. ISBN 9781450328814. S2CID 14997975. 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.