Mathematical Simulation Of Adaptive Allocation Of Discrete Resources

被引:0
|
作者
Anisimov, E. G. [1 ]
Anisimov, V. G. [2 ]
Sonkin, M. A. [3 ]
机构
[1] Russian Customs Acad, Dept Sci & Informat, Lyubertsy Town, Moscow Region, Russia
[2] Peter Great St Petersburg Polytech Univ, Dept Informat Syst Econ & Management, St Petersburg, Russia
[3] Natl Res Tomsk Polytech Univ, Inst Cybernet, Tomsk, Russia
来源
PROCEEDINGS OF THE 2016 CONFERENCE ON INFORMATION TECHNOLOGIES IN SCIENCE, MANAGEMENT, SOCIAL SPHERE AND MEDICINE (ITSMSSM) | 2016年 / 51卷
关键词
management system; discrete resources; distribution of resources; uncertain circumstances; adaptation; optimization; model; ALGORITHM;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The dynamic and uncertainty of management system generate and complicate the problem of providing appropriate quality management solutions. Optimization and adaptive approach to the process of taking a management decision is one the most effective. Practically, it can be implemented by modeling adaptive distribution of discrete resources. So, the results of this article include the methods of forming mathematical models of distribution of discrete resources, based on the principle of optimization and adaptive approach to the process of taking a management decision in automated information management systems in the real-time mode (AIMS). The implementation of considered methods help to scrutinize such aspects of a real management system as dynamics and uncertainty of situations, but at the same time to operate with simple mathematical models of static optimization for taking a decision about the distribution of resources.
引用
收藏
页码:282 / 285
页数:4
相关论文
共 50 条
  • [31] Statistical Learning Induces Discrete Shifts in the Allocation of Working Memory Resources
    Umemoto, Akina
    Scolari, Miranda
    Vogel, Edward K.
    Awh, Edward
    JOURNAL OF EXPERIMENTAL PSYCHOLOGY-HUMAN PERCEPTION AND PERFORMANCE, 2010, 36 (06) : 1419 - 1429
  • [32] Method for optimal allocation of network resources based on discrete probability model
    Song, Zhengqiang
    Hao, Guo
    WIRELESS NETWORKS, 2022, 28 (06) : 2743 - 2754
  • [33] EXTENDING RESOURCES TO MULTIPLE BUSY STATES IN DISCRETE SIMULATION
    DEUERMEYER, BL
    CURRY, GL
    SIMULATION, 1992, 58 (01) : 17 - 21
  • [34] Adaptive protocols for parallel discrete event simulation
    Das, SR
    1996 WINTER SIMULATION CONFERENCE PROCEEDINGS, 1996, : 186 - 193
  • [35] Adaptive protocols for parallel discrete event simulation
    Das, SR
    JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 2000, 51 (04) : 385 - 394
  • [36] A mathematical model for the conservation of forestry resources with two discrete time delays
    Lata K.
    Misra A.K.
    Upadhyay R.K.
    Modeling Earth Systems and Environment, 2017, 3 (3) : 1011 - 1027
  • [37] Real-Time Adaptive Allocation of Emergency Department Resources and Performance Simulation Based on Stochastic Timed Petri Nets
    Wang, Jun
    Wang, Jiacun
    IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2023, 10 (04) : 1986 - 1996
  • [38] Adaptive simulation budget allocation in Simulation assisted Differential Evolution algorithm
    Akl, Amany M.
    Sarker, Ruhul A.
    Essam, Daryl L.
    APPLIED SOFT COMPUTING, 2019, 83
  • [39] A Hybrid Simulation Model for the Allocation of Shared Resources in a Project Portfolio
    Bai, Libiao
    Lin, Jiachen
    Xie, Qi
    Zhang, Yipei
    Guo, Xiqian
    IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, 2024, 71 : 5998 - 6014
  • [40] DYNAMIC ALLOCATION OF ADDITIONAL HUMAN RESOURCES USING HYBRID SIMULATION
    Sena
    Silva
    Costa
    Montevechi
    Pinho
    Miranda
    INTERNATIONAL JOURNAL OF SIMULATION MODELLING, 2017, 16 (01) : 84 - 95