Titlebook: Evolutionary Multi-Criterion Optimization; 6th International Co Ricardo H. C. Takahashi,Kalyanmoy Deb,Salvatore Gr Conference proceedings 2

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Ricardo H. C. Takahashi,Kalyanmoy Deb,Salvatore GrState-of-the-art research..Fast-track conference proceedings..Unique visibility.

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Evolutionary Multi-Criterion Optimization978-3-642-19893-9Series ISSN 0302-9743 Series E-ISSN 1611-3349

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On Sequential Online Archiving of Objective Vectorsdo not, and they may .-deteriorate with time. The .-monotonicity property has meaning on any input sequence of points. We also classify archivers according to limit properties, i.e. convergence and approximation properties of the archiver in the limit of infinite (input) samples from a finite space

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On a Stochastic Differential Equation Approach for Multiobjective Optimization up to Pareto-Criticalthm that indicates a systematic solution for such problems. This algorithm is intended to serve as a proof of concept, allowing the comparison of the properties of the gradient-search principle with the dominance-search principle. It is shown that the gradient-based principle can be used to find sol

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Pareto Cone ,-Dominance: Improving Convergence and Diversity in Multiobjective Evolutionary Algorither control over the resolution of the estimated Pareto front, and also performs a better spread of solutions along the front. Experimental validation of the proposed cone .-dominance shows a significant improvement in the diversity of solutions over both the regular Pareto-dominance and the .-domina

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