Unified Particle Swarm Optimization for solving constrained engineering optimization problems
| dc.contributor.author | Parsopoulos, K. E. | en |
| dc.contributor.author | Vrahatis, M. N. | en |
| dc.date.accessioned | 2015-11-24T17:01:05Z | |
| dc.date.available | 2015-11-24T17:01:05Z | |
| dc.identifier.issn | 0302-9743 | - |
| dc.identifier.uri | https://olympias.lib.uoi.gr/jspui/handle/123456789/10870 | |
| dc.rights | Default Licence | - |
| dc.title | Unified Particle Swarm Optimization for solving constrained engineering optimization problems | en |
| heal.abstract | We investigate the performance of the recently proposed Unified Particle Swarm Optimization method on constrained engineering optimization problems. For this purpose, a penalty function approach is employed and the algorithm is modified to preserve feasibility of the encountered solutions. The algorithm is illustrated on four well-known engineering problems with promising results. Comparisons with the standard local and global variant of Particle Swarm Optimization are reported and discussed. | en |
| heal.access | campus | - |
| heal.fullTextAvailability | TRUE | - |
| heal.journalName | Advances in Natural Computation, Pt 3, Proceedings | en |
| heal.journalType | peer reviewed | - |
| heal.language | en | - |
| heal.publicationDate | 2005 | - |
| 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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