تعداد نشریات | 27 |
تعداد شمارهها | 362 |
تعداد مقالات | 3,206 |
تعداد مشاهده مقاله | 4,706,441 |
تعداد دریافت فایل اصل مقاله | 3,214,958 |
Modeling and simulation of genetic algorithm using meta-models | ||
Journal of Hyperstructures | ||
دوره 7، Spec. 2nd CSC2017، شهریور 2018، صفحه 1-13 اصل مقاله (453.25 K) | ||
نوع مقاله: Research Paper | ||
شناسه دیجیتال (DOI): 10.22098/jhs.2018.2685 | ||
نویسنده | ||
Abbas MAhmoodi Markid* | ||
Faculty of Electrical Engineering, Sahand University of Technology, Sahand, Iran | ||
چکیده | ||
In this paper we introduce new method for modeling and simulation of genetic algorithm based on meta-models. Eclipse Modeling Framework (EMF) provides a meta-modeling framework to describe models in various abstraction levels. We use this platform and EMF-DEVS to modeling genetic algorithm (GA-DEVS) and generating partial executable codes on DEVS-Suite simulator. Also this process helps modelers to validate models and their structure and I/O validity. | ||
کلیدواژهها | ||
Modeling and Simulation؛ Genetic Algorithm؛ EMF-DEVS؛ Validation؛ Meta Modeling | ||
مراجع | ||
[1] Zeigler, B.P., H. Praehofer, and T.G. Kim. Theory of modeling and simulation.Academic press, New York, second edition, (2000). [2] Steinberg, D., F. Budinsky, M. Paternostro, and E. Merks. EMF: Eclipse Modeling Framework. Second ed, Addison-Wesley, (2008). [3] Cetinkaya, D., A. Verbraeck, and M. D. Seck. Model Transformation from BPMN to DEVS in a Prototype Implementation of the MDD4MS Framework, In DEVS Symposium, Spring Simulation Multi-Conference, March, Orlando, FL, (2012). [4] Achilleos, A., N. Georgalas, and K. Yang. An Open Source Domain-Specific Tools Framework to Support Model Driven Development of OSS. In Proceedings of the 3rd European Conference on Model Driven Architecture - Foundations and Appli-cations (ECMDA-FA 2007). [5] Ohenoja, Markku, and Kauko Leivisk. Validation of genetic algorithm results in a fuel cell model international journal of hydrogen energy 35.22 (2010): 12618-12625. [6] Warmer, J. and A. Kleppe. Object Constraint Language, The Getting Your Models Ready for MDA, Second Edition. Addison Wesley, 245 pages, (2003). [7] Yousefi, Milad, et al. Chaotic genetic algorithm and Adaboost ensemble metamod-eling approach for optimum resource planning in emergency departments, Artificial Intelligence in Medicine (2017). [8] Zeigler, B. P., and H. S. Sarjoughian. Guide to Modeling and Simulation of Systems of Systems, Springer, (2013). [9] Daz-Manrquez, A., Toscano, G., & Coello, C. A. C. Comparison of metamodeling techniques in evolutionary algorithms, Soft Computing, 21(19), 5647-5663, (2017).. [10] Roy, Proteek, Rayan Hussein, and Kalyanmoy Deb. Metamodeling for multimodal selection functions in evolutionary multi-objective optimization, Proceedings of the Genetic and Evolutionary Computation Conference. ACM, (2017). [11] Sarjoughian, H. S., and A. Mahmoodi Markid. EMF-DEVS Modeling. In DEVS Symposium, Spring Simulation Multi-Conference, March, Orlando, FL, (2012). [12] Mahmoodi, A., DEVS-MDA a new architecture for DEVS simulations, 10th Na-tional Conference on Computer and Intelligent Systems, Tabriz, Iran, (2013). [13] Sarjoughian, H.S. DEVS-Suite Simulator. http://devs-suitesim.sf.net , (2009). [14] Mittal, S., and S. A. Douglass. DEVSML 2.0: The Language and the Stack, Spring Simulation Multiconference, Orlando, FL, March (2012). [15] Lazar, I., B. Parv, S. Motogna, I.-G. Czibula, and C.-L. Lazar. An Agile MDA Approach for Executable UML Structured Activities, Studia Univ. Babes-Bolyai, vol. LII, no. 2, pp. 101-114, (2007). [16] Sarjoughian, H.S., and V. Elamvazhuthi. CoSMoS: a visual environment for component-based modeling, experimental design, and simulation, In Proceedings of the International Conference on Simulation Tools and Techniques, SIMUTools, pages 19, Rome, Italy, (2009). [17] Mahmoodi Markid, A. New Method for Design and Development of Highly Scalable Networks using Meta-Models, In Proceedings of the 13th National Conference on Computer and Intelligent Systems, TSPI13, Tabriz, Iran, (2016). | ||
آمار تعداد مشاهده مقاله: 46 تعداد دریافت فایل اصل مقاله: 46 |