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Software implementation of the hybrid stochastic
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Purpose: automation of solution of optimisation tasks. Features: The novelty consists in the modified procedure of local search of the canonical M-PCA algorithm, selection of the best solutions due to the crossing procedure, as well as the introduced adaptive topology of particle interaction. Advantages: Provides a more efficient exploration of the search space than the canonical M-PCA algorithm, preventing the algorithm from hitting a local extremum. Parallel implementation improves the performance of the algorithm by scaling it to available computational resources.
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