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...
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...
Market Overview Swarm intelligence refers to the collective behavior of decentralized, self-organized systems inspired by social insect colonies, such as ants and bees. In the context of technology, it involves using algorithms and systems that mimic...