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DC Field | Value | Language |
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dc.contributor.author | Lagaris, I. E. | en |
dc.contributor.author | Tsoulos, I. G. | en |
dc.date.accessioned | 2015-11-24T17:01:50Z | - |
dc.date.available | 2015-11-24T17:01:50Z | - |
dc.identifier.issn | 0096-3003 | - |
dc.identifier.uri | https://olympias.lib.uoi.gr/jspui/handle/123456789/10984 | - |
dc.rights | Default Licence | - |
dc.subject | stochastic global optimization | en |
dc.subject | multistart | en |
dc.subject | stopping rules | en |
dc.subject | algorithm | en |
dc.title | Stopping rules for box-constrained stochastic global optimization | en |
heal.type | journalArticle | - |
heal.type.en | Journal article | en |
heal.type.el | Άρθρο Περιοδικού | el |
heal.identifier.primary | DOI 10.1016/j.amc.2007.08.001 | - |
heal.language | en | - |
heal.access | campus | - |
heal.recordProvider | Πανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μηχανικών Ηλεκτρονικών Υπολογιστών και Πληροφορικής | el |
heal.publicationDate | 2008 | - |
heal.abstract | We present three new stopping rules for Multistart based methods. The first uses a device that enables the determination of the coverage of the bounded search domain. The second is based on the comparison of asymptotic expectation values of observable quantities to the actually measured ones. The third offers a probabilistic estimate for the number of local minima inside the search domain. Their performance is tested and compared to that of other widely used rules on a host of test problems in the framework of Multistart. (c) 2007 Elsevier Inc. All rights reserved. | en |
heal.journalName | Applied Mathematics and Computation | en |
heal.journalType | peer reviewed | - |
heal.fullTextAvailability | TRUE | - |
Appears in Collections: | Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά) |
Files in This Item:
File | Description | Size | Format | |
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Lagaris-2008-Stopping rules for b.pdf | 355.1 kB | Adobe PDF | View/Open Request a copy |
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