Surrogate-Assisted Multi-Objective Parameter Optimization for Production Planning Systems

Johannes Karder, Andreas Beham, Andreas Josef Peirleitner, Klaus Altendorfer

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitragBegutachtung

Abstract

Efficient global optimization is, even after over two decades of research, still considered as one of the best approaches to surrogate-assisted optimization. In this paper, material requirements planning parameters are optimized and two different versions of EGO, implemented as optimization networks in HeuristicLab, are applied and compared. The first version resembles a more standardized version of EGO, where all steps of the algorithm, i.e. expensive evaluation, model building and optimizing expected improvement, are executed synchronously in sequential order. The second version differs in two aspects: (i) instead of a single objective, two objectives are optimized and (ii) all steps of the algorithm are executed asynchronously. The latter leads to faster algorithm execution, since model building and solution evaluations can be done in parallel and do not block each other. Comparisons are done in terms of achieved solution quality and consumed runtime. The results show that the multi-objective, asynchronous optimization network can compete with the single-objective, synchronous version and outperforms the latter in terms of runtime.

OriginalspracheEnglisch
TitelComputer Aided Systems Theory – EUROCAST 2019 - 17th International Conference, Revised Selected Papers
Redakteure/-innenRoberto Moreno-Díaz, Alexis Quesada-Arencibia, Franz Pichler
Herausgeber (Verlag)Springer
Seiten239-246
Seitenumfang8
ISBN (Print)9783030450922
DOIs
PublikationsstatusVeröffentlicht - 2020
Veranstaltung17th International Conference on Computer Aided Systems Theory, EUROCAST 2019 - Las Palmas de Gran Canaria, Spanien
Dauer: 17 Feb 201922 Feb 2019

Publikationsreihe

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band12013 LNCS
ISSN (Print)0302-9743
ISSN (elektronisch)1611-3349

Konferenz

Konferenz17th International Conference on Computer Aided Systems Theory, EUROCAST 2019
Land/GebietSpanien
OrtLas Palmas de Gran Canaria
Zeitraum17.02.201922.02.2019

Fingerprint

Untersuchen Sie die Forschungsthemen von „Surrogate-Assisted Multi-Objective Parameter Optimization for Production Planning Systems“. Zusammen bilden sie einen einzigartigen Fingerprint.

Zitieren