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

  • João Baptista Cardia Federal University of São Carlos (UFSCar), Brazil
  • Edilson Reis Rodrigues Kato Federal University of São Carlos (UFSCar), Brazil
DOI: https://doi.org/10.26729/jadi.v3i2.2430

Abstract

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.

Published
2017-12-29
How to Cite
CARDIA, João Baptista; KATO, Edilson Reis Rodrigues. Applying the Particle Swarm Optimization + Hill-climbing in the Flexible Job-Shop problem. Journal on Advances in Theoretical and Applied Informatics, [S.l.], v. 3, n. 2, p. 40-43, dec. 2017. ISSN 2447-5033. Available at: <https://revista.univem.edu.br/jadi/article/view/2430>. Date accessed: 20 apr. 2024. doi: https://doi.org/10.26729/jadi.v3i2.2430.
Citation Formats
Issue
Vol 3 No 2 (2017): Journal on Advances in Theoretical and Applied Informatics
Section
Articles

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