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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Bibliographic Details

Published in:	arXiv.org
Main Authors:	Bossek, Jakob, Wagner, Markus
Format:	Paper
Language:	English
Published:	Ithaca Cornell University Library, arXiv.org 29.04.2021
Subjects:	Algorithms Evolutionary algorithms Fitness Optimization
ISSN:	2331-8422
Online Access:	Get full text
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