Issue
Europhys. Lett.
Volume 66, Number 3, May 2004
Page(s) 305 - 310
Section General
DOI https://doi.org/10.1209/epl/i2004-10011-3
Published online 01 April 2004
Europhys. Lett., 66 (3) , pp. 305-310 (2004)
DOI: 10.1209/epl/i2004-10011-3

Best possible probability distribution over extremal optimization ranks

F. Heilmann1, K. H. Hoffmann1 and P. Salamon2

1  Institut für Physik, Technische Universität Chemnitz - D-09107 Chemnitz, Germany
2  Department of Mathematics and Statistics, San Diego State University San Diego, CA 92182, USA

hoffmann@physik.tu-chemnitz.de

(Received 9 January 2004; accepted in final form 2 March 2004)

Abstract
We consider the problem of selecting the next degree of freedom (DoF) for update in an extremal optimization algorithm designed to find the ground state of a system with a complex energy landscape. We show that if we wish to minimize any linear function of the state probabilities, e.g. the final energy, then the best distribution for selecting the next DoF is a rectangular distribution with a cutoff for the fitness. We dub the family of algorithms using rectangular distributions in combination with extremal optimization Fitness Threshold Accepting .

PACS
02.50.Ga - Markov processes.
02.60.Pn - Numerical optimization.
05.10.-a - Computational methods in statistical physics and nonlinear dynamics.

© EDP Sciences 2004

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