Let's kick off the series of swarm intelligence algorithms using the Particle Swarm Optimization algorithm. This algorithm is a computational method used to optimize and solve a problem by iteratively improving upon an identified candidate solution i...
The firefly algorithm is a bio-inspired optimization method that draws its inspiration from the particular flashing pattern exhibited by fireflies. It was first developed by Xin-She Yang in 2008 and has been applied since then to a wide range of opti...
The Krill Herd optimization algorithm is a novel swarm-based metaheuristic optimization algorithm that has been inspired by the herding behavior of the krill, a type of marine crustacean that also tends to form one of the largest swarms in the Antarc...
MetaHeuristic algorithms are a kind of algorithm that are used to find good enough or approximate solutions to a wide range of problems that are in general very hard or expensive or slow to find using the traditional deterministic algorithms that ten...