Table of Contents
International Journal of Engineering Mathematics
Volume 2015, Article ID 167031, 9 pages
Research Article

Improving the Performance of Metaheuristics: An Approach Combining Response Surface Methodology and Racing Algorithms

School of Engineering at Guaratinguetá (FEG), Universidade Estadual Paulista (UNESP), Avenida Doutor Ariberto Pereira da Cunha 333, 12516-410 Guaratinguetá, SP, Brazil

Received 30 May 2015; Accepted 30 August 2015

Academic Editor: Song Cen

Copyright © 2015 Eduardo Batista de Moraes Barbosa et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [3 citations]

The following is the list of published articles that have cited the current article.

  • Erik Cuevas, Adolfo Reyna-Orta, and Margarita-Arimatea Díaz-Cortes, “A Multimodal Optimization Algorithm Inspired by the States of Matter,” Neural Processing Letters, 2017. View at Publisher · View at Google Scholar
  • Erik Cuevas, Daniel Zaldívar, Marco Pérez-Cisneros, Erik Cuevas, Daniel Zaldívar, and Marco Pérez-Cisneros, “Multimodal States of Matter Search,” Advances in Metaheuristics Algorithms: Methods and Applications, vol. 775, pp. 119–165, 2018. View at Publisher · View at Google Scholar
  • Cigdem Alabas-Uslu, and Berna Dengiz, “Parameter Tuning Problem in Metaheuristics: A Self-Adaptive Local Search Algorithm for Combinatorial Problems,” Women in Industrial and Systems Engineering, pp. 93–111, 2019. View at Publisher · View at Google Scholar