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Poweredby MULTIOBJECTIVE OPTIMIZATION AND genetic ALGORITHMS In this Scilab tutorial we discuss about the importance of MULTIOBJECTIVE OPTIMIZATION and we give an overview of all possible Pareto frontiers. Moreover we show how to use the NSGA-II algorithm available in Scilab. Level This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs Unported License. MULTIOBJECTIVE OPTIMIZATION with NSGA-II page 2/16 Step 1: Purpose of this tutorial It is very uncommon to have problems composed by only a single objective when dealing with real-world industrial applications. Generally multiple, often conflicting, objectives arise naturally in most practical OPTIMIZATION problems.
www.openeering.com powered by MULTIOBJECTIVE OPTIMIZATION AND GENETIC ALGORITHMS In this Scilab tutorial we discuss about the importance of multiobjective optimization and we give an overview of all possible Pareto frontiers.
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