Research output: Contribution to conference › Paper › peer-review
Exploitation and Recovery Periods in Dynamic Resource Management Problem. / Mazalov, Vladimir.
2023. 288-299 Paper presented at 22nd International Conference on Mathematical Optimization Theory and Operations Research (MOTOR 2023), Екатеринбург, Russian Federation.Research output: Contribution to conference › Paper › peer-review
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TY - CONF
T1 - Exploitation and Recovery Periods in Dynamic Resource Management Problem
AU - Mazalov, Vladimir
PY - 2023
Y1 - 2023
N2 - Dynamic game related to resource management problem is considered. The planning horizon is assumed to be divided into the periods of exploitation where many players use a common resource and the periods of recovery where the resource stock is evolving according to the natural growth rule. Both noncooperative and coordinated players’ behaviors are investigated. The conditions linking the values of exploitation and recovery periods in order to maintain the sustained resource usage are determined. To illustrate the presented approaches, a dynamic bioresource management problem (harvesting problem) with many players and compound planning horizon is investigated.
AB - Dynamic game related to resource management problem is considered. The planning horizon is assumed to be divided into the periods of exploitation where many players use a common resource and the periods of recovery where the resource stock is evolving according to the natural growth rule. Both noncooperative and coordinated players’ behaviors are investigated. The conditions linking the values of exploitation and recovery periods in order to maintain the sustained resource usage are determined. To illustrate the presented approaches, a dynamic bioresource management problem (harvesting problem) with many players and compound planning horizon is investigated.
U2 - https://doi.org/10.1007/978-3-031-35305-5_20
DO - https://doi.org/10.1007/978-3-031-35305-5_20
M3 - материалы
SP - 288
EP - 299
T2 - 22nd International Conference on Mathematical Optimization Theory and Operations Research (MOTOR 2023)
Y2 - 2 July 2023 through 8 July 2023
ER -
ID: 127753699