Dynamic Fitness Landscape Analysis

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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.

Original languageEnglish
Title of host publicationComputer Aided Systems Theory – EUROCAST 2022 - 18th International Conference, Revised Selected Papers
EditorsRoberto Moreno-Díaz, Franz Pichler, Alexis Quesada-Arencibia
Number of pages9
ISBN (Print)9783031253119
Publication statusPublished - 2022
Event18th International Conference on Computer Aided Systems Theory, EUROCAST 2022 - Las Palmas de Gran Canaria, Spain
Duration: 20 Feb 202225 Feb 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13789 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference18th International Conference on Computer Aided Systems Theory, EUROCAST 2022
CityLas Palmas de Gran Canaria


  • Dynamic optimization
  • Dynamic vehicle routing
  • Fitness landscape analysis


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