Dynamic process scheduling and resource allocation in distributed environment: an agent-based modelling and simulation

Dalapati, Poulami; Agarwal, Piyush; Dutta, Animesh; Bhattacharya, Swapan

doi:10.1080/13873954.2018.1512504

Cited by 1 publication

(1 citation statement)

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“…Generally, according to whether there is a binding agreement between game participants, the game mode can be divided into a cooperative game and non-cooperative game. The two parties of a cooperative game [26] have a consistent income direction and a constraint agreement is reached. Otherwise, it is called a non-cooperative game.…”

Section: Optimization Model Of Stackelberg Gamementioning

confidence: 99%

Study on Master Slave Interaction Model Based on Stackelberg Game in Distributed Environment

et al. 2020

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In view of the problems such as low efficiency, difficulty in resolving local conflicts and lack of practical application scenarios, existing in the interaction model of multi-agent systems in a distributed environment, a multi-master multi-slave interaction model was designed based on the Stackelberg game, which is applied to the interaction game problem between the controller and the participant in the command and control process. Through optimizing the Stackelberg game model and multi-attribute decision-making, the multi-master, multi-slave, multi-agent system of the Stackelberg game was designed, and the closed loop problem under the Stackelberg game is solved for dimension reduction and optimal function value. Finally, through the numerical derivation simulation and the training results of related system data, the high efficiency and strong robustness of the model were verified from multiple perspectives, and this model algorithm was proved to be true and highly efficient.

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Section: Optimization Model Of Stackelberg Gamementioning

confidence: 99%