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.
Introduction.- Multi-objective Optimization.- The Framework.- Computing the Entire Pareto Front.- Computing Gap Free Pareto Fronts.- Using Archivers within MOEAs.- Test Problems.
Alexandru-Adrian Tantar, Emilia Tantar, Jian-Qiao Sun, Wei Zhang, Qian Ding, Oliver Schütze, Michael Emmerich, Pierrick Legrand, Pierre Del Moral, Carlos A. Coello Coello
Michael Emmerich, André Deutz, Oliver Schütze, Pierrick Legrand, Emilia Tantar, Alexandru-Adrian Tantar, Andre Deutz, Oliver Schutze, Oliver Deutz, André
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Carlos Hernández, Ricardo Sanz, Jaime Gómez Ramirez, Leslie S. Smith, Amir Hussain, Antonio Chella, Igor Aleksander, Carlos Hernandez, Jaime Gomez Ramirez
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