The noising methods

Irène Charon; Olivier Hudry

The noising methods

Irène Charon
, Olivier Hudry

Telecom Paris

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

This chapter provides a review of the principles and of applications of the noising methods. We detail the features and the variants of the noising methods and we summarize the tunings of their parameters when these methods are applied to different combinatorial optimization problems. We also study the links between the noising methods and other metaheuristics (namely, the simulated annealing method, the threshold accepting algorithm or the descents with mutations).

Original language	English
Title of host publication	Mathematical Research Summaries
Publisher	Nova Science Publishers, Inc.
Pages	3
Number of pages	1
Volume	2
ISBN (Electronic)	9781536122008
ISBN (Print)	9781536120226
Publication status	Published - 1 Jan 2017

Cite this

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AB - This chapter provides a review of the principles and of applications of the noising methods. We detail the features and the variants of the noising methods and we summarize the tunings of their parameters when these methods are applied to different combinatorial optimization problems. We also study the links between the noising methods and other metaheuristics (namely, the simulated annealing method, the threshold accepting algorithm or the descents with mutations).

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The noising methods

Abstract

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