METHOD OF COMPROMISE CHOICE OF INTERVAL OF MODEL TIME CHANGE IN IMITATION MODEL
DOI:
https://doi.org/10.20998/2079-0023.2020.02.03Keywords:
complex system, simulation modeling, simulation models, model time, methods, compromise choiceAbstract
The process of simulation is considered as one of the main means for studying the dynamics of functioning of real systems, in particular, complex ones. The system can be represented by a set of components. The functioning of a component is represented by the implementation of a set of functional actions, which are represented by the corresponding activities in the form of a pair: algorithm for performing a functional action - duration of execution. The problem of displaying the simultaneous or parallel nature of the functioning of all components of a complex system in the MI is solved by introducing model or system time. The main methods for introducing model time are the fixed step method and the variable step method. In the fixed-step method, an important problem is the choice of the value of the model time variation interval. The existing recommendations for choosing the value of the interval for changing the model time are of a qualitative nature and their use makes it possible to increase the accuracy of modeling, but at the same time the consumption of the computer time resource increases. It is proposed to use quantitative estimates of the values of quality criteria - the accuracy and expenditure of the computer time resource when choosing the value of the model time change interval. The generalized criterion is represented as a weighted sum of transformations of local criteria. The values of the coefficients by which the corresponding transformations are multiplied express the preferences of the decision-maker for the local optimality criteria. A geometric interpretation of the process of determining a compromise alternative on a set of effective alternatives for various cases of the importance of local criteria is given. These estimates make it possible to substantiate the nature of the change in the quality criteria for various variants of the values of the interval of change in the model time and to use them to select a compromise option among the effective ones by minimizing the generalized criterion. The choice of the compromise value of the model time variation interval is implemented in the control simulation program.References
Shennon R. Imitacionoe modelirovanie sistem – iskysstvo i nayka [Systems Simulation - Art and Science]. Moscow, Mir Publ., 1978. 352 p.
Maxcimey I. V. Imitacionoe modelirovanie na EVM [Computer simulation]. Moscow, Radio i cvayz Publ., 1988. 232 p.
Litvinov V. V., Maraynovich T. P. Metodu poctroeniya imitacionnuh sistem [Methods of constructing imitation systems]. Kiev, Naykova dymka Publ., 1991. 120 p.
Gyltyaev O. K. Imitacionoe modelirovanie v srede Windows: prakticheskoe pocobie [Windows Simulation: A Practical Guide]. St. Petersburg, Koronaprint Publ., 1999. 288 p.
Tomashevcki V. M., Jdanova O. G. Imitacionoe modelirovanie v srede GPPS[Simulation modeling in the GPPS environment.]. Moscow: Bestceller Publ., 2003. 416 p.
Kicileyva M. V. Imitacionoe modelirovanie v srede AnyLogic: Uchebno-metodicheskoe pocobie [Simulation modeling in the AnyLogic environment: Educational-methodological guide]. Ekaterinburg, UGTU – UPI Publ., 2009. 88 p.
Gamauyn I. P., Cherednichenko O. Y. Modeluyvannuy sistem: navchalni pocibnik dlay stydentiv cpecialnocti "Programna injneriay", "Kompuytrni nauki" [System model: a basic guide for students of specialties "Programming Engineering", "Computers of Science"]. Kharkiv: Fact Publ., 2015. 228 p.
Gamauyn I. P Imitacionoe modelirovanie procesov cborki [Simulationofassemblyprocesses]. Electronicmodeling. 2000, issue4, pp. 100–106.
Gamauyn I. P. Razrabotka imitazionyh modeley na osnove setey Petri: utchebnoe posobie [Development of simulation models based on Petri nets: a tutorial]. Kharkiv, NTU "KhPI" Publ., 2002. 143 p.
Gamauyn I. P Opredelenie kompromisnoy alternativy v odnoy zadatche strukturnogo synteza [Determination of acompromis ealternativei none problemo fstructurasynthesis]. Opetechnologies. Kharkiv, NAU "KhAI" Publ.,2001, issue 10, pp. 3–10.
MyhalevichV. S., VolkovychV. L. Vychislitelnye metody issledovaniai proektirovnia slozhnyh system [Computational methods of research anddesign of complex systems]. Moscow, Nauka Publ., 1982. 288 p.
Gamauyn I. P., Ymshanov I.S. Mnogokryterialnaya optimizatsia na mnozhestvetehnologicheskih shem sborki [Mnogokriterialnaya optimization on aplurality of technological assemblys chemes]. Eastern European Journal of Advanced Technologies. 2003, issue 4, pp. 27–30.
Downloads
How to Cite
Issue
Section
License
Copyright (c) 2020 Bulletin of National Technical University "KhPI". Series: System Analysis, Control and Information TechnologiesAuthors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
