Genetically controlled random search: a global optimization method for continuous multidimensional functions
| 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/123456789/10922 | |
| dc.rights | Default Licence | - |
| dc.subject | global optimization | en |
| dc.subject | stochastic methods | en |
| dc.subject | genetic programming | en |
| dc.subject | grammatical evolution | en |
| dc.subject | algorithm | en |
| dc.subject | minima | en |
| dc.title | Genetically controlled random search: a global optimization method for continuous multidimensional functions | en |
| heal.abstract | A new stochastic method for locating the global mini mum of a multidimensional function inside a rectangular hyperbox is presented. A sampling technique is employed that makes use of the procedure known as grammatical evolution. The method can be considered as a "genetic" modification of the Controlled Random Search procedure due to Price. The user may code the objective function either in C++ or in Fortran 77. We offer a comparison of the new method with others of similar structure, by presenting results of computational experiments on a set of test functions. | en |
| heal.access | campus | - |
| heal.fullTextAvailability | TRUE | - |
| heal.identifier.primary | DOI 10.1016/j.cpc.2005.09.007 | - |
| heal.journalName | Computer Physics Communications | en |
| heal.journalType | peer reviewed | - |
| heal.language | en | - |
| heal.publicationDate | 2006 | - |
| 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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