Parallelization of random search global optimization algorithms

Parallelization of random search global optimization algorithms

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Global optimization problems are relevant in various fields of research and industry, such as chemistry, biology, biomedicine, operational research, etc. Normally it is easier to solve optimization problems having some specific properties of objective function such as linearity, convexity, different...

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Bibliographic Details
Main Author: Lančinskas, Algirdas
Other Authors: DZEMYDA, GINTAUTAS
Format: Doctoral Thesis
Language:English
Published: Lithuanian Academic Libraries Network (LABT) 2013
Subjects:
Informatics
Global optimization
Multi-objective optimization
Random search
Parallel algorithms
Globalusis optimizavimas
Daugiakriteris optimizavimas
Atsitiktinė paieška
Lygiagretieji algoritmai
Online Access:http://vddb.laba.lt/fedora/get/LT-eLABa-0001:E.02~2013~D_20130620_110438-17037/DS.005.1.01.ETD

Internet

http://vddb.laba.lt/fedora/get/LT-eLABa-0001:E.02~2013~D_20130620_110438-17037/DS.005.1.01.ETD

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