Hi guys I want to know what is the main similarities and differences between Ant colony optimization algorithm and Particle swarm optimization and Genetic algorithm.
Particle swarm optimization is a population based stochastic optimization. It is motivated by the behavior of flocks of birds or swarms of fishes to search for a good food place. the coordinates in the search space that are associated with the best solution is tracked by each particle. It is random.
While Ant colony optimization algorithm is a probabilistic technique for solving non-deterministic problems. The requirement for designing an Ant colony optimization algorithm is to have a constructive method such as used by an ant to create different solutions through a sequence of decisions.