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Population optimization algorithms: Particle swarm (PSO)

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by , 11-21-2022 at 01:43 AM (198 Views)
      
   
In this article, I will try to find out if the algorithm is actually good for solving complex problems. In the classical version of the algorithm and in many of its modifications, there are significant limitations associated with the fact that the optimized function must be smooth and continuous, which means it is completely unsuitable for discrete functions. However, in line with the series of articles, all the algorithms under consideration will be changed in such a way (if there are any restrictions) in order to eliminate the shortcomings, at least to make the algorithms work at least purely technically. In other words, all algorithms must be indifferent to the smoothness of functions (such as in traders' problems) and have no restrictions on the argument step.
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