2017
DOI: 10.1007/s10462-017-9568-0
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Continuous versions of firefly algorithm: a review

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Cited by 67 publications
(42 citation statements)
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“…Recently, the research community has been producing novel bio-inspired metaheursitcs for optimisation in an attempt to obtain better results. However, most of the novel algorithms share very similar structures, as, for example, firefly algorithms [66] and differential evolution [44,67] are ruled by similar internal dynamics [25] and are designed without taking into consideration the problem at hand. This process does not always lead to optimal results, as it is known that universal optimisers do not exist, and the best performance is always returned by algorithms tailored to the problem [68].…”
Section: Algorithmmentioning
confidence: 99%
“…Recently, the research community has been producing novel bio-inspired metaheursitcs for optimisation in an attempt to obtain better results. However, most of the novel algorithms share very similar structures, as, for example, firefly algorithms [66] and differential evolution [44,67] are ruled by similar internal dynamics [25] and are designed without taking into consideration the problem at hand. This process does not always lead to optimal results, as it is known that universal optimisers do not exist, and the best performance is always returned by algorithms tailored to the problem [68].…”
Section: Algorithmmentioning
confidence: 99%
“…Despite the success of the standard FA, many variants have been developed to enhance its performance in the last few years. Again many of these variants have been reviewed by Fister et al [15] and Tilahun et al [67], and we will not repeat their coverage. Instead, here we will focus only on the most recent variants that have just appeared in the last few years.…”
Section: Variants Of Famentioning
confidence: 99%
“…Prey-predator and Firefly algorithms are straightforward metaheuristic algorithms with higher effectiveness in applying and use [6]. These algorithms are used for continuous and non-continuous optimization problems [7]. Prey-predator algorithm (PPA) is developed for handling a complex optimization problem.…”
Section: Introductionmentioning
confidence: 99%
“…It mimics the behavior of a predator and its prey. Firefly algorithm is inspired by how fireflies signal each other using the flashing light to identify predators [7].…”
Section: Introductionmentioning
confidence: 99%
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