| Issue |
E3S Web Conf.
Volume 371, 2023
International Scientific Conference “Fundamental and Applied Scientific Research in the Development of Agriculture in the Far East” (AFE-2022)
|
|
|---|---|---|
| Article Number | 05075 | |
| Number of page(s) | 7 | |
| Section | Environmental Economics and Management | |
| DOI | https://doi.org/10.1051/e3sconf/202337105075 | |
| Published online | 28 February 2023 | |
Dynamic programming methods for modelling the target distribution matrix in pursuit tasks
Buryat State University, 24A, Smolina Street, Ulan-Ude, 670000, Russia
* Corresponding author: tashkane@mail.ru
In this paper we consider modelling a matrix describing the process of group pursuit for a set of goals. The matrix reflects the number of opposing parties, namely the number of pursuers and the number of goals. Each cell of such matrix is a structured variable, which contains information about predicted time of jth target achievement by ith pursuer. From the finite set of pursuers distribution by aims, the one which provides minimal value of criterion among permissible values of times of achievement of aims by pursuers, is chosen. The admissible criteria are the maximal time of pursuers' achievement of goals for each distribution of pursuers according to the goals.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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