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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Tsoulos, I. G. | en |
dc.contributor.author | Lagaris, I. E. | en |
dc.date.accessioned | 2015-11-24T17:01:25Z | - |
dc.date.available | 2015-11-24T17:01:25Z | - |
dc.identifier.issn | 0010-4655 | - |
dc.identifier.uri | https://olympias.lib.uoi.gr/jspui/handle/123456789/10921 | - |
dc.rights | Default Licence | - |
dc.subject | global optimization | en |
dc.subject | genetic programming | en |
dc.subject | grammatical evolution | en |
dc.subject | simulated annealing | en |
dc.subject | global optimization | en |
dc.subject | algorithm | en |
dc.title | GenAnneal: Genetically modified simulated annealing | en |
heal.type | journalArticle | - |
heal.type.en | Journal article | en |
heal.type.el | Άρθρο Περιοδικού | el |
heal.identifier.primary | DOI 10.1016/j.cpc.2005.12.011 | - |
heal.language | en | - |
heal.access | campus | - |
heal.recordProvider | Πανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μηχανικών Ηλεκτρονικών Υπολογιστών και Πληροφορικής | el |
heal.publicationDate | 2006 | - |
heal.abstract | A modification of the standard Simulated Annealing (SA) algorithm is presented for finding the global minimum of a continuous multidimensional, multimodal function. We report results of computational experiments with a set of test functions and we compare to methods of similar structure. The accompanying software accepts objective functions coded both in Fortran 77 and C++. | en |
heal.journalName | Computer Physics Communications | en |
heal.journalType | peer reviewed | - |
heal.fullTextAvailability | TRUE | - |
Appears in Collections: | Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά) |
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File | Description | Size | Format | |
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Tsoulos-2006-GenAnneal_ Genetical.pdf | 118.79 kB | Adobe PDF | View/Open Request a copy |
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