Результаты поиска по 'multiagent simulation':
Найдено статей: 2
  1. Khelvas A.V., Pankratov K.K., Afanasenko T.S., Gadzhimirzayev Sh.M., Saidov A.A., Pashkov R.A., Strelnikova S.A.
    Simulation of fully automated warehouse with deep storage racks
    Computer Research and Modeling, 2026, v. 18, no. 2, pp. 423-438

    This article presents a model of a fully automated warehouse with deep storage racks designed for boxed goods storage. The study focuses on optimizing warehouse operations through discrete multiagent simulation of shuttle movements for pallet loading and unloading tasks. The authors investigate various product placement strategies, including the Nearest Channel Positioning Algorithm (NCPA), Most Empty Channel Group Placement (MECGP), andMost Filled Channel Group Placement (MFCGP), while analyzing optimal routing schemes for the given warehouse topology.

    A key contribution is determining the optimal number of shuttles to maximize warehouse throughput. Simulation results demonstrate that increasing the number of robots beyond 15 does not significantly improve efficiency due to increased route collisions. The study also examines 24-hour warehouse occupancy dynamics, revealing optimal storage utilization levels.

    The developed model enables performance evaluation and optimization of task distribution among robots to minimize order processing time. Future research directions include implementing machine learning techniques to further enhance warehouse management systems.

    Keywords: robotic warehouse, boxes placement optimization, multiagent simulation.
  2. Chesnokova O.I., Melkikh A.V.
    Simulation modeling of directed movement in illumination gradient
    Computer Research and Modeling, 2012, v. 4, no. 2, pp. 401-406

    Simulation multiagent model of artificial life was created. Competitive ad-vantages of directed movement and diverse strategies of its using in population of protozoa in illumination gradient were considered. The results consistent with r-K selection theory were obtained. Agents behavior in artificial ecosystem are in qualitative agreement with behavior observed in nature.

    Keywords: agent-based modeling, directed movement, cyanobacteria.
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