Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Evolutionary Algorithms for Solving Multi-Objective Problems
Evolutionary Algorithms for Solving Multi-Objective Problems
Performance assessment of multiobjective optimizers: an analysis and review
IEEE Transactions on Evolutionary Computation
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In multiobjective optimization, a very important element is thespace of objective functions, usually called Z. The set of¿of all non---dominated sets that we can generatewith elements of Zis especially interesting, because itrepresent all possible output from an evolutionary multiobjectivealgorithm. In this study, we make some theoretical demonstrationsabout the cardinality of Ωand others important setsof non---dominated sets. After, we use these demonstrations toprove some theorems in the area of performance measures forevolutionary multiobjective algorithms.