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.
similarities and differences between ACO and PSO and Genetic algorithms
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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.