The Chicken Swarm Optimization algorithm is a nature-inspired optimization technique that mimics the behavior of chickens in a flock. This algorithm is designed to solve abstract non-deterministic problems through the process of simulating the behavi...
The Ant Colony Optimization Algorithm is a computational technique that is heavily inspired by the behavior of ants in finding the shortest path to the food sources from the colony. Introduction The Ant Colony Optimization Algorithm is a probabilisti...
The artificial bee colony algorithm is a biological meta-heuristic algorithm that is heavily inspired by the foraging behavior displayed by a colony of bees. This algorithm operates through the process of simulating the behavior of a bee colony which...
The grey wolf optimization algorithm is a population-based meta-heuristic algorithm inspired by the social hierarchy and hunting behavior exhibited by grey wolves in nature. This algorithm mimics the leadership hierarchy and hunting mechanism followe...
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...
