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Population optimization algorithms: Firefly Algorithm (FA)

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by , 02-20-2023 at 12:42 AM (220 Views)
      
   
Nature has always been an inspiration for many metaheuristic algorithms. It managed to find solutions to problems without prompting, based on individual experience. Natural selection and survival of the fittest were the main motivation for the creation of early metaheuristic algorithms. In nature, animals communicate with each other in many ways. Fireflies use their ability to blink to communicate. There are about 2000 species of fireflies with their own special flash patterns.

There are two variants of population optimization algorithms inspired by the behavior of fireflies: the Firefly Algorithm and the Glowworm Swarm Optimization (GSO) algorithm. The main difference between firefly and glowworms is that the latter are wingless. In this article, we will consider the first type of the optimization algorithm.
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