Institute for Theoretical Information Technology

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.

BibT_EX 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,
	hsb = RWTH-CONV-223641,
	}

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