Abstract
The purpose of this paper is to present a short overview of recent developments of global optimization in least squares multidimensional scaling. Three promising candidates —the genetic algorithm, simulated annealing, and distance smoothing— are discussed in more detail and compared on a data set arising in mobile communication.
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Groenen, P.J.F., Mathar, R., Trejos, J. (2000). Global Optimization Methods for Multidimensional Scaling Applied to Mobile Communications. In: Gaul, W., Opitz, O., Schader, M. (eds) Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-58250-9_37
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DOI: https://doi.org/10.1007/978-3-642-58250-9_37
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