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Parameter Tuning for Local-Search-Based Matheuristic Methods
Joint Authors
Paredes, Fernando
Cabrera, Enrique
Lagos, Carolina
Johnson, Franklin
Cabrera-Guerrero, Guillermo
Castañeda, Carolina
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-12-31
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Algorithms that aim to solve optimisation problems by combining heuristics and mathematical programming have attracted researchers’ attention.
These methods, also known as matheuristics, have been shown to perform especially well for large, complex optimisation problems that include both integer and continuous decision variables.
One common strategy used by matheuristic methods to solve such optimisation problems is to divide the main optimisation problem into several subproblems.
While heuristics are used to seek for promising subproblems, exact methods are used to solve them to optimality.
In general, we say that both mixed integer (non)linear programming problems and combinatorial optimisation problems can be addressed using this strategy.
Beside the number of parameters researchers need to adjust when using heuristic methods, additional parameters arise when using matheuristic methods.
In this paper we focus on one particular parameter, which determines the size of the subproblem.
We show how matheuristic performance varies as this parameter is modified.
We considered a well-known NP-hard combinatorial optimisation problem, namely, the capacitated facility location problem for our experiments.
Based on the obtained results, we discuss the effects of adjusting the size of subproblems that are generated when using matheuristics methods such as the one considered in this paper.
American Psychological Association (APA)
Cabrera-Guerrero, Guillermo& Lagos, Carolina& Castañeda, Carolina& Johnson, Franklin& Paredes, Fernando& Cabrera, Enrique. 2017. Parameter Tuning for Local-Search-Based Matheuristic Methods. Complexity،Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1142556
Modern Language Association (MLA)
Cabrera-Guerrero, Guillermo…[et al.]. Parameter Tuning for Local-Search-Based Matheuristic Methods. Complexity No. 2017 (2017), pp.1-15.
https://search.emarefa.net/detail/BIM-1142556
American Medical Association (AMA)
Cabrera-Guerrero, Guillermo& Lagos, Carolina& Castañeda, Carolina& Johnson, Franklin& Paredes, Fernando& Cabrera, Enrique. Parameter Tuning for Local-Search-Based Matheuristic Methods. Complexity. 2017. Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1142556
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1142556