Bernardino, Eugénia MoreiraBernardino, Anabela MoreiraSánchez-Pérez, Juan ManuelGómez-Pulido, Juan AntonioVega-Rodríguez, Miguel Angel2025-11-042025-11-042010Bernardino, E. M., Bernardino, A. M., Sánchez-Pérez, J. M., Pulido, J. A. G., & Rodríguez, M. Á. V. (2010, October). Hybrid Population-based Incremental Learning to Assign Terminals to Concentrators. In IJCCI (ICEC) (pp. 182-189). DOI: https://doi.org/10.5220/0003076301820189.978-989-8425-31-7http://hdl.handle.net/10400.8/14489Conference name - International Conference on Evolutionary Computation, ICEC 2010; Conference date - 24 October 2010 - 26 October 2010; Conference code - 83493Fonte: https://www.scitepress.org/papers/2010/30763/30763.pdfIn the last decade, we have seen a significant growth in communication networks. In centralised communication networks, a central computer serves several terminals or workstations. In large networks, some concentrators are used to increase the network efficiency. A collection of terminals is connected to a concentrator and each concentrator is connected to the central computer. In this paper we propose a Hybrid Population-based Incremental Learning (HPBIL) to assign terminals to concentrators. We use this algorithm to determine the minimum cost to form a network by connecting a given collection of terminals to a given collection of concentrators. We show that HPBIL is able to achieve good solutions, improving the results obtained by previous approaches.engCommunication networksTerminal assignment problemOptimisation algorithmsPopulation-based incremental learningconference paper10.5220/0003076301820189