Analysis of the distribution of pareto optimal solutions on various multi-objective evolutionary algorithms

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Document typeBachelor thesis
Date2016-05-18
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Abstract
This project compares the quality of the distributions of solutions produced by various popular and novel Multi-Objective Evolutionary Algorithms. Two quality indicators are evaluated and used to find the biases and problems which each of the compared MOEA have difficulty solving.
DegreeGRAU EN ENGINYERIA INFORMÀTICA (Pla 2010)
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