The Way to an Open-Source Software for Automated Optimization and Learning - Open Opal
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Autor:innen
Autor:in (Körperschaft)
Publikationsdatum
27.09.2010
Typ der Arbeit
Studiengang
Typ
04B - Beitrag Konferenzschrift
Herausgeber:innen
Herausgeber:in (Körperschaft)
Betreuer:in
Übergeordnetes Werk
Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2010
Themenheft
DOI der Originalpublikation
Link
Reihe / Serie
Reihennummer
Jahrgang / Band
Ausgabe / Nummer
Seiten / Dauer
1-8
Patentnummer
Verlag / Herausgebende Institution
Verlagsort / Veranstaltungsort
Barcelona
Auflage
Version
Programmiersprache
Abtretungsempfänger:in
Praxispartner:in/Auftraggeber:in
Zusammenfassung
An optimization framework combines various methods, strategies, and programming interfaces on a robust software platform. Its development requires knowledge from application areas, and about optimization methods, as well as from software engineering. Different persons provide diverse know-how about modeling and simulating engineering and/or business problems, about search and optimization methods, and about new software trends to implement them into software. This paper describes the approach how an optimization framework based on evolutionary algorithms and other methods is developed in subsequent projects with application engineers and software developers cooperatively working together guaranteeing a sophisticated knowledge transfer. Therefore, particular knowledge management aspects are emphasized. As result, the optimization platform OpenOpal and the ideas behind its software architecture, supporting the know-how transfer, are presented. In order to continuously improve this optimization framework it is transferred into an open-source software initiative. The objective is to broaden the user group by increasing the number of knowledge contributors both from academia - integrating and testing newly developed optimization methods - and from various engineering areas - providing real-world problems to be solved.
Schlagwörter
artificial intelligence, evolutionary algorithms, evolutionary computation, knowledge transfer, learning, mathematics computing, open-source software, optimization framework, software architecture, software engineering
Fachgebiet (DDC)
330 - Wirtschaft
005 - Computer Programmierung, Programme und Daten
005 - Computer Programmierung, Programme und Daten
Veranstaltung
Startdatum der Ausstellung
Enddatum der Ausstellung
Startdatum der Konferenz
Enddatum der Konferenz
Datum der letzten Prüfung
ISBN
978-4244-6090-3
ISSN
Sprache
Englisch
Während FHNW Zugehörigkeit erstellt
Unbekannt
Publikationsstatus
Veröffentlicht
Begutachtung
Keine Begutachtung
Open Access-Status
Lizenz
Zitation
DORNBERGER, Rolf, Thomas HANNE und Lukas FREY, 2010. The Way to an Open-Source Software for Automated Optimization and Learning - Open Opal. In: Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2010. Barcelona. 27 September 2010. S. 1–8. ISBN 978-4244-6090-3. Verfügbar unter: http://hdl.handle.net/11654/9191