Dynamic Fitness Landscape Analysis

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitragBegutachtung

Abstract

Dynamic optimization problems pose a big challenge for classic optimization algorithms. They could simply be viewed as a series of related optimization problems. In particular the aspect of time-linkage has not been well studied yet. In this work we are analyzing an artificial problem based on real-world data to elucidate the potential of fitness landscape analysis methods to discover problem difficulty and follow along the changes of dynamic problems and how these changes can be measures and might be exploited by enabling algorithm introspection.

OriginalspracheEnglisch
TitelComputer Aided Systems Theory – EUROCAST 2022 - 18th International Conference, Revised Selected Papers
Redakteure/-innenRoberto Moreno-Díaz, Franz Pichler, Alexis Quesada-Arencibia
Herausgeber (Verlag)Springer
Seiten78-86
Seitenumfang9
ISBN (Print)9783031253119
DOIs
PublikationsstatusVeröffentlicht - 2022
Veranstaltung18th International Conference on Computer Aided Systems Theory, EUROCAST 2022 - Las Palmas de Gran Canaria, Spanien
Dauer: 20 Feb. 202225 Feb. 2022

Publikationsreihe

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band13789 LNCS
ISSN (Print)0302-9743
ISSN (elektronisch)1611-3349

Konferenz

Konferenz18th International Conference on Computer Aided Systems Theory, EUROCAST 2022
Land/GebietSpanien
OrtLas Palmas de Gran Canaria
Zeitraum20.02.202225.02.2022

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