Social Algorithms

Social Algorithms• Algorithm: An algorithm is a step-by-step, computational procedure or a set of rules to be followed by a computer in calculations or computing an answer to a problem.• Ant colony optimization: Ant colony optimization (ACO) is an algorithm for solving optimization problems such as routing problems using multiple agents.ACO mimics the local interactions of social ant colonies and the use of chemical messenger -pheromone to mark paths.No centralized control is used and the system evolves according to simple local interaction rules.• Bat algorithm: Bat algorithm (BA) is an algorithm for optimization, which uses frequencytuning to mimic the basic behaviour of echolocation of microbats.BA also uses the variations of loudness and pulse emission rates and a solution vector to a problem corresponds to a position vector of a bat in the search space.Evolution of solutions follow two algorithmic equations for positions and frequencies.• Bees-inspired algorithms: Bees-inspired algorithms are a class of algorithms for optimization using the foraging characteristics of honeybees and their labour division to carry out search.Pheromone may also be used in some variants of bees-inspired algorithms.