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
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;
Conference_Titel :
Nature and Biologically Inspired Computing (NaBIC), 2011 Third World Congress on
Conference_Location :
Salamanca
Print_ISBN :
978-1-4577-1122-0
DOI :
10.1109/NaBIC.2011.6089613
