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Archiving Strategies for Evolutionary Multi-Objective Optimization Algorithms

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Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms - Schütze, Oliver, and Hernández, Carlos
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This book presents an overview of archiving strategies developed over the last years by the authors that deal with suitable approximations of the sets of optimal and nearly optimal solutions of multi-objective optimization problems by means of stochastic search algorithms. All presented archivers are analyzed with respect to the approximation qualities of the limit archives that they generate and the upper bounds of the archive sizes. The convergence analysis will be done using a very broad framework that involves all ...

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Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms 2022, Springer Nature Switzerland AG, Cham

ISBN-13: 9783030637750

Paperback

Archiving Strategies for Evolutionary Multi-Objective Optimization Algorithms 2021, Springer, Cham

ISBN-13: 9783030637729

2021 edition

Hardcover