Objective function "stretching" to alleviate convergence to local minima

dc.contributor.author	Parsopoulos, K. E.	en
dc.contributor.author	Plagianakos, V. P.	en
dc.contributor.author	Magoulas, G. D.	en
dc.contributor.author	Vrahatis, M. N.	en
dc.date.accessioned	2015-11-24T17:00:10Z
dc.date.available	2015-11-24T17:00:10Z
dc.identifier.issn	0362-546X	-
dc.identifier.uri	https://olympias.lib.uoi.gr/jspui/handle/123456789/10719
dc.rights	Default Licence	-
dc.title	Objective function "stretching" to alleviate convergence to local minima	en
heal.abstract	This paper introduces a new technique for the alleviation of local minima in minimization problems. The proposed "stretching" technique transforms the objective function by stretching upwards the neighborhood of a given point, and assists in eliminating local minima, while preserving the global ones. Experiments indicate that when a global search method converges to an undesired local minimum, the use of the new technique provides a way of escape and helps convergence to the global minimum.	en
heal.access	campus	-
heal.fullTextAvailability	TRUE	-
heal.journalName	Nonlinear Analysis-Theory Methods & Applications	en
heal.journalType	peer reviewed	-
heal.language	en	-
heal.publicationDate	2001	-
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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