Parallel Characteristical Algorithms for Solving Problems of GlobalOptimization

Authors:
Vladimir A. Grishagin;Yaroslav D. Sergeyev;Roman G. Strongin
Affiliations:
Software Department, University of Nizhni Novgorod, Gagarin Ave. 23, Nizhni Novgorod, 603600, Russia (e-mail: strongin@nnucnit.unn.ac.ru)/;Software Department, University of Nizhni Novgorod, Gagarin Ave. 23, Nizhni Novgorod, 603600, Russia (e-mail: strongin@nnucnit.unn.ac.ru)/;Software Department, University of Nizhni Novgorod, Gagarin Ave. 23, Nizhni Novgorod, 603600, Russia (e-mail: strongin@nnucnit.unn.ac.ru)/
Venue:
Journal of Global Optimization
Year:
1997

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Abstract

A class of parallel characteristical algorithms for global optimization ofone-dimensional multiextremal functions is introduced. General convergence andefficiency conditions for the algorithms of the class introduced areestablished. A generalization for the multidimensional case is considered.Examples of parallel characteristical algorithms and numerical experiments arepresented.