Global optimization methods for Multidimensional Scaling applied to mobile communications

Authors

P. Groenen, R. Mathar, J. Trejos,

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.

BibTEX Reference Entry 

@inbook{GrMaTr00,
	author = {Patrick Groenen and Rudolf Mathar and Javier Trejos},
	title = "Global optimization methods for {M}ultidimensional {S}caling applied to mobile communications",
	pages = "459-470",
	publisher = "Springer-Verlag",
	series = "Data Analysis",
	editor = "W.Gaul, O.Opitz, M. Schader",
	address = "Berlin",
	month = Apr,
	year = 2000,
	}

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