DocumentCode
2456166
Title
Local optimization in global multi-objective optimization algorithms
Author
Lancinskas, A. ; Zilinskas, Julius ; Ortigosa, P.M.
Author_Institution
Inst. of Math. & Inf., Vilnius Univ., Vilnius, Lithuania
fYear
2011
fDate
19-21 Oct. 2011
Firstpage
323
Lastpage
328
Abstract
A hybrid Multi-Objective Optimization Algorithm based on the NSGA-II algorithm is presented and evaluated. The local optimization algorithm called SASS has been modified in order to be suitable for multi-objective optimization where the local optimization is intended towards non-dominated points. The modified local optimization algorithm has been incorporated into NSGA-II in order to improve performance.
Keywords
genetic algorithms; NSGA-II algorithm; global multiobjective optimization algorithms; modified local optimization algorithm; nondominated points; nondominated sorting genetic algorithm; Measurement; Memetics; Optimization; Search problems; Sorting; Vectors; Non-dominated Sorting Genetic Algorithm; Pareto set; Single Agent Stochastic Search; multi-objective optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Nature and Biologically Inspired Computing (NaBIC), 2011 Third World Congress on
Conference_Location
Salamanca
Print_ISBN
978-1-4577-1122-0
Type
conf
DOI
10.1109/NaBIC.2011.6089613
Filename
6089613
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