Dynamic instance sampling for multi-objective automatic algorithm configuration

Multi-objective automatic algorithm configuration alleviates the tedious parameter tuning for users by optimizing both the performance and efficiency of the target algorithm. Its evaluation requires performing multiple runs for each configuration on an instance set, making the computational cost exp...

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Bibliographic Details

Published in:	Swarm and evolutionary computation Vol. 97; p. 102008
Main Authors:	Li, Yuchen, Wang, Handing
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.08.2025
Subjects:	Automatic algorithm configuration Dynamic instance sampling Multi-objective optimization Parameter tuning Automatic algorithm configuration Multi-objective optimization Dynamic instance sampling Parameter tuning
ISSN:	2210-6502
Online Access:	Get full text
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