Titlebook: Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms; Oliver Schütze,Carlos Hernández Book 2021 The Editor(s) (if

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Computing Gap Free Pareto Fronts,ely based on the concept of .-dominance. While the applicability of . is restricted since it stores too many points during the run of the search process, the opposite can happen for the two .-dominance based archivers. To see the latter, consider the extreme examples depicted in Fig.?.. Both sub-fig

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Computing the Set of Approximate Solutions,consequence, even the limit archives for certain archivers could contain solutions that are not optimal, but only nearly optimal. This fact, however, does not represent a problem at least from the practical point of view, as in many cases we are satisfied with such nearly optimal solutions. More pre

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Using Archivers Within MOEAs, either as an external archive to the base algorithm, or directly as part of the selection process. In order to maintain the convergence properties of the chosen archiving strategy, it is important to assure that assumption (.) on the process to generate new solutions is satisfied.

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Takao K. Hensch,Michela Fagiolini will hence accept all vectors . with .. So far, we have used nearly optimal (or .-approximate) solutions to obtain a finite size representation of the Pareto sets/fronts. In this chapter, we will go one step further and investigate the approximation of the entire set of approximate solutions of a g

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Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms

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