%0 Journal Article
%T Hybridisation of Evolutionary Algorithms for Solving Multi-Objective Simulation Optimisation Problems
%A Liana Napalkova
%J Scientific Journal of Riga Technical University. Computer Sciences
%D 2009
%I 
%R 10.2478/v10143-010-0001-2
%X The paper presents a taxonomic analysis of existing hybrid multi-objective evolutionary algorithms aimed at solving multi-objective simulation optimisation problems. For that, the properties of evolutionary algorithms and the requirements made to solving the problem considered are determined. Finally, a combination of the properties, which allows one to increase the approximation accuracy of the Pareto-optimal front at relatively low computational costs, is revealed.
%K multi-objective simulation optimisation
%K evolutionary algorithms
%K hybrid algorithms
%U http://versita.metapress.com/content/hk8753553g505603/?p=2a8e5ee0383e41168b525b9566b0f4b4&pi=0