Abstract
In this chapter we describe one of the most successful methodologies for obtaining high quality solutions to difficult optimization problems. It was proposed by Fred Glover (Decision Sciences 8:371–392, 1997) [3] under the term Tabu Search, which refers to the way in which the method explores the solution region of a given problem. We will use Clustering Analysis as an example to apply this technique.
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References
Duarte, A., M. Laguna, and R. Martí. 2011. Tabu search for the linear ordering problem with cumulative costs. Computational Optimization and Applications 48: 697–715.
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Appendix: Visual Basic code
Appendix: Visual Basic code
As we did in the previous chapter, we put together in this section all the code described in the previous sections. In this way, the reader can have a complete picture of how it works.
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Duarte, A., Laguna, M., Martí, R. (2018). Tabu Search. In: Metaheuristics for Business Analytics. EURO Advanced Tutorials on Operational Research. Springer, Cham. https://doi.org/10.1007/978-3-319-68119-1_4
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DOI: https://doi.org/10.1007/978-3-319-68119-1_4
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