Design and Analysis of Optimization Algorithms Using Computational Statistics
| dc.contributor.author | Bartz Beielstein, T. | en |
| dc.contributor.author | Parsopoulos, K. E. | en |
| dc.contributor.author | Vrahatis, M. N. | en |
| dc.date.accessioned | 2015-11-24T17:00:35Z | |
| dc.date.available | 2015-11-24T17:00:35Z | |
| dc.identifier.issn | 1611-8189 | - |
| dc.identifier.uri | https://olympias.lib.uoi.gr/jspui/handle/123456789/10786 | |
| dc.rights | Default Licence | - |
| dc.subject | Key word | en |
| dc.title | Design and Analysis of Optimization Algorithms Using Computational Statistics | en |
| heal.abstract | We propose a highly flexible sequential methodology for the experimental analysis of optimization algorithms. The proposed technique employs computational statistic methods to investigate the interactions among optimization problems, algorithms, and environments. The workings of the proposed technique are illustrated on the parameterization and comparison of both a population based and a direct search algorithm, on a well known benchmark problem, as well as on a simplified model of a real world problem. Experimental results are reported and conclusions are derived. (© 2004 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim) | en |
| heal.access | campus | - |
| heal.fullTextAvailability | TRUE | - |
| heal.identifier.primary | 10.1002/anac.200410007 | - |
| heal.journalName | Applied Numerical Analysis & Computational Mathematics | en |
| heal.journalType | peer reviewed | - |
| heal.language | en | - |
| heal.publicationDate | 2004 | - |
| heal.publisher | WILEY-VCH Verlag | en |
| heal.recordProvider | Πανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μηχανικών Ηλεκτρονικών Υπολογιστών και Πληροφορικής | el |
| heal.type | journalArticle | - |
| heal.type.el | Άρθρο Περιοδικού | el |
| heal.type.en | Journal article | en |
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