DocumentCode :
3274775
Title :
The simulation-based multi-objective evolutionary optimization (SIMEON) framework
Author :
Halim, Ronald Apriliyanto ; Seck, Mamadou D.
Author_Institution :
Logistic, Organ., Delft Univ. of Technol. Transp., Delft, Netherlands
fYear :
2011
fDate :
11-14 Dec. 2011
Firstpage :
2834
Lastpage :
2846
Abstract :
Simulation and optimization have been successfully combined to solve real-world decision making problems. However, there is no formal structure to define the integration between simulation and optimization. This deters the development of simulation-based optimization methods that have a proper balance between the desired features (i.e. generality, efficiency, high-dimensionality and transparency). This research provides two contributions to the problem above by providing: 1) the design of the framework that facilitates the fulfillment of the aforementioned features; 2) the implementation of the framework in Java. The proposed framework is developed based on Zeigler´s modeling and simulation framework and the phases of an optimization study in operations research. The test and evaluation show that the desired features are successfully satisfied.
Keywords :
evolutionary computation; simulation; Java framework; SIMEON framework; decision making; simulation based multiobjective evolutionary optimization; Analytical models; Computational modeling; Data models; Object oriented modeling; Optimization methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference (WSC), Proceedings of the 2011 Winter
Conference_Location :
Phoenix, AZ
ISSN :
0891-7736
Print_ISBN :
978-1-4577-2108-3
Electronic_ISBN :
0891-7736
Type :
conf
DOI :
10.1109/WSC.2011.6147987
Filename :
6147987
Link To Document :
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