Opt4J - A Modular Framework for Meta-heuristic Optimization

Beitrag bei einer Tagung


Details zur Publikation

Autorinnen und Autoren: Lukasiewycz M, Glaß M, Reimann F, Teich J
Titel Sammelwerk: Genetic and Evolutionary Computation Conference, GECCO'11
Verlag: ACM
Verlagsort: New York, NY, USA
Jahr der Veröffentlichung: 2011
Tagungsband: Proc. of the 13th Annual Genetic and Evolutionary Computation Conference
Seitenbereich: 1723-1730
ISBN: 978-1-4503-0557-0


Abstract


This paper presents a modular framework for meta-heuristic optimization of complex optimization tasks by decomposing them into subtasks that may be designed and developed separately. Since these subtasks are generally correlated, a separate optimization is prohibited and the framework has to be capable of optimizing the subtasks concurrently. For this purpose, a distinction of genetic representation (genotype) and representation of a solution of the optimization problem (phenotype) is imposed. A compositional genotype and appropriate operators enable the separate development and testing of the optimization of subtasks by a strict decoupling. The proposed concept is implemented as open source reference OPT4J [6]. The architecture of this implementation is outlined and design decisions are discussed that enable a maximal decoupling and flexibility. A case study of a complex real-world optimization problem from the automotive domain is introduced. This case study requires the concurrent optimization of several heterogeneous aspects. Exemplary, it is shown how the proposed framework allows to efficiently optimize this complex problem by decomposing it into subtasks that are optimized concurrently. Copyright 2011 ACM.



FAU-Autorinnen und Autoren / FAU-Herausgeberinnen und Herausgeber

Glaß, Michael Prof. Dr.-Ing.
Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)
Reimann, Felix
Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)
Teich, Jürgen Prof. Dr.-Ing.
Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)


Zitierweisen

APA:
Lukasiewycz, M., Glaß, M., Reimann, F., & Teich, J. (2011). Opt4J - A Modular Framework for Meta-heuristic Optimization. In Proc. of the 13th Annual Genetic and Evolutionary Computation Conference (pp. 1723-1730). Dublin, IE: New York, NY, USA: ACM.

MLA:
Lukasiewycz, Martin, et al. "Opt4J - A Modular Framework for Meta-heuristic Optimization." Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference (GECCO'11), Dublin New York, NY, USA: ACM, 2011. 1723-1730.

BibTeX: 

Zuletzt aktualisiert 2018-09-08 um 22:55