Applying the Particle Swarm Optimization + Hill-climbing in the Flexible Job-Shop problem

Autores

  • João Baptista Cardia Universidade Federal de São Carlos (UFSCar), Brasil
  • Edilson Reis Rodrigues Kato Universidade Federal de São Carlos (UFSCar), Brasil

DOI:

https://doi.org/10.26729/jadi.v3i2.2430

Resumo

The Flexible Job-Shop problem is a very interesting and important problem. In this paper it is studied an approach of the PSO (Particle Swarm Optimization) in the Flexible Job-Shop problem, the studied and applied approach is derived from a Travelling Salesman Problem solution with a few minor alterations, trying to reach the optimum values discovered by a series of other works. It is used only PSO and not mixed with any other auxiliary meta-heuristic.

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Publicado

2017-12-29

Como Citar

Applying the Particle Swarm Optimization + Hill-climbing in the Flexible Job-Shop problem. (2017). Journal on Advances in Theoretical and Applied Informatics, 3(2), 40-43. https://doi.org/10.26729/jadi.v3i2.2430