Particle swarm optimization (PSO) is a metaheuristic (also called global optimization algorithm), for dealing with problems in which a best solution can be represented as a point or surface in an n-dimensional space. Other famous metaheuristics:
- Simulated annealing, generalization of Monte Carlo method
 - Cross-entropy method another generalization of Monte Carlo method
 - Genetic algorithm
 - Tabu search
 - Ant colony organization
 
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