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Calibration of the descent local search algorithm parameters using orthogonal arrays

Author
Gisbert, C.; Lozano-Galant, J. A.; Paya-Zaforteza, I.; Turmo, J.
Type of activity
Journal article
Journal
Computer-aided civil and infrastructure engineering
Date of publication
2020-09
Volume
35
Number
9
First page
997
Last page
1008
DOI
10.1111/mice.12545
Project funding
Smart structural BIM Models for the efficient management of infrastructures
System to help decision making during infrastructures life cycle: smart-infrastructures
Repository
http://hdl.handle.net/2117/329424 Open in new window
https://www.researchgate.net/publication/339684125_Calibration_of_the_descent_local_search_algorithm_parameters_using_orthogonal_arrays Open in new window
URL
https://onlinelibrary.wiley.com/doi/abs/10.1111/mice.12545 Open in new window
Abstract
Solving optimization problems using heuristic algorithms requires the selection of its parameters. Traditionally, these parameters are selected by a trial and error process that cannot guarantee the quality of the results obtained because not all the potential combinations of parameters are checked. To fill this gap, this paper proposes the application of Taguchi's orthogonal arrays to calibrate the parameters of a heuristic optimization algorithm (the descent local search algorithm). This proce...
Citation
Gisbert, C. [et al.]. Calibration of the descent local search algorithm parameters using orthogonal arrays. "Computer-aided civil and infrastructure engineering", Setembre 2020, vol. 35, núm. 9, p. 997-1008.
Group of research
EC - Construction Engineering

Participants

  • Gisbert Doménech, Carlos Miguel  (author)
  • Lozano Galant, José Antonio  (author)
  • Payá Zaforteza, Ignacio Javier  (author)
  • Turmo Coderque, Jose  (author)