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arXiv · 2006.10935

Particle Swarm Optimization with Velocity Restriction and Evolutionary Parameters Selection for Scheduling Problem

Pavel Matrenin·Viktor Sekaev
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Abstract

The article presents a study of the Particle Swarm optimization method for scheduling problem. To improve the method's performance a restriction of particles' velocity and an evolutionary meta-optimization were realized. The approach proposed uses the Genetic algorithms for selection of the parameters of Particle Swarm optimization. Experiments were carried out on test tasks of the job-shop scheduling problem. This research proves the applicability of the approach and shows the importance of tuning the behavioral parameters of the swarm intelligence methods to achieve a high performance.

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Pavel Matrenin, Viktor Sekaev. 2020-06-19. Particle Swarm Optimization with Velocity Restriction and Evolutionary Parameters Selection for Scheduling Problem. https://doi.org/10.1109/sibcon.2015.7147143

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