An Optimal Allocation Method of Power Multimodal Network Resources Based on NSGA-II

Basic services for power business were provided by the power multimodel network providers. However, because the power multimodal network is usually complex and changeable, the service of power business is often unstable. This problem can be solved by a suitable network resource optimization method. Therefore, how to design a network resource optimization method that seeks a compromise between multiple performance indicators that achieve the normal operation of power multimode networks is still extremely challenging. An optimal allocation method of power multimodal network resources based on NSGA-II was proposed by this paper. Firstly, the power multimodal network-resource model is established, and the problems existing in the resource optimization process are analyzed. Secondly, preprocessing technology and indirect coding technology are applied to NSGA-II, which solves the coding problem and convergence problem of the application of genetic algorithm to the optimization of network resource allocation. Finally, the simulation results show that, compared with the control algorithm, this method has further optimized the various indicators of the resource allocation of the power multimodal network, and the performance has been improved by more than 6%.

Automated summary

The optimization of power multimodal network resources is crucial for the stable operation of power business. This paper proposes an optimal allocation method based on NSGA-II, which successfully solves the coding and convergence problems of using genetic algorithm in network resource allocation optimization by establishing a power multimodal network-resource model and applying preprocessing technology and indirect coding technology. Simulation results show that this method further optimizes various indicators of power multimodal network resource allocation, improving performance by more than 6% compared to the control algorithm.