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Demon algorithms and their application to optimization problems

Wood, Ian A. & Downs, Tom (1998) Demon algorithms and their application to optimization problems. In International Joint Conference on Neural Networks, May 4-9, 1998, Anchorage, Alaska, USA.

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Abstract

We introduce four new general optimization algorithms based on the 'demon' algorithm from statistical physics and the simulated annealing (SA) optimization method. These algorithms reduce the computation time per trial without significant effect on the quality of solutions found. Any SA annealing schedule or move generation function can be used. The algorithms are tested on traveling salesman problems including Grotschel's 442-city problem with results comparable to SA. Applications to the Boltzmann machine are considered.

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2 citations in Scopus
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3 citations in Web of Science®

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ID Code: 5726
Item Type: Conference Paper
Keywords: Demon algorithm, simulated annealing, optimization, traveling salesman problem, Grotschel's 442, city TSP, Boltzmann machine
DOI: 10.1109/IJCNN.1998.686028
Subjects: Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 1998 IEEE
Copyright Statement: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Deposited On: 04 Dec 2006
Last Modified: 10 Aug 2011 23:55

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