Generating Instances with Performance Differences for More Than Just Two Algorithms

In recent years, Evolutionary Algorithms (EAs) have frequently been adopted to evolve instances for optimization problems that pose difficulties for one algorithm while being rather easy for a competitor and vice versa. Typically, this is achieved by either minimizing or maximizing the performance d...

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Veröffentlicht in:	arXiv.org
Hauptverfasser:	Bossek, Jakob, Wagner, Markus
Format:	Paper
Sprache:	Englisch
Veröffentlicht:	Ithaca Cornell University Library, arXiv.org 29.04.2021
Schlagworte:	Algorithms Evolutionary algorithms Fitness Optimization
ISSN:	2331-8422
Online-Zugang:	Volltext
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