similarities and differences between ACO and PSO and Genetic algorithms

Question

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.

score 0 · Accepted Answer · edited Dec 03 '21 at 13:34

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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.

edited Dec 03 '21 at 13:34

Dharman

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answered Dec 03 '21 at 13:28

Samuel Tosan Ayo

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You're welcome please upvote it if it's helpful. – Samuel Tosan Ayo Dec 27 '21 at 18:28
yes it was helpful .thanks again> – Poorya Ghorbani Jan 09 '22 at 07:35

similarities and differences between ACO and PSO and Genetic algorithms

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