![]() To evaluate the influence of market participants’ strategic behavior on the green certificate trading, we embed the strategic behavior model into the artificial green certificate market to simulate the market participants’ strategic behavior in green certificate trading. Generally, the self-interested strategic behavior was not conducive to improving market efficiency, thereby impeding the implementation of mandatory green certificate trading. The mandatory green certificate trading not only fosters the liquidity of the green certificate market but also induces the possibility of market participants taking strategic behavior to gain more market returns. The experiments show the performance of the proposed VRP multi-model and carry out its improvement in terms of computational complexity.Ĭhina has announced that the mandatory green certificate trading would be implemented in 2021. This paper presents the Vehicle Routing Problem (VRP) simulation results in several aspects, where the main goal is to satisfy several client demands. These simulators interact within a co-simulation platform called MECSYCO, to ensure the integration of the various proposed VRP models. Each multi-agent simulator’s role is to solve one of the VRP objectives. On the other hand, multi-agent simulations have been largely implemented in complex system modeling and simulation. The simulation of different complex system components can be coupled via co-simulation to reproduce the behavior emerging from their interaction. Numerous studies consider the process of components simulation in a complex system as a proven approach to realistically predict the behavior of a complex system or to effectively manage its complexity. Complex systems are often designed in a decentralized and open way so that they can operate on heterogeneous entities that communicate with each other.
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