Abstract
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%.
Highlights
New business needs with large connections and wide coverage have gradually arisen by the research and development of power multimodal networks
Aiming at the power multimodal network scenario, a power multimodal network resource optimization allocation method, which designs specific schemes for each step based on the NSGA-II genetic algorithm, is realized by this paper to meet the power business needs
In order to ensure the normal operation of power business and improve resource utilization, an optimal allocation method of power multimodal network resources based on NSGA-II was proposed by this paper
Summary
New business needs with large connections and wide coverage have gradually arisen by the research and development of power multimodal networks. Optimizing the software and hardware in the power multimodal network to improve the quality of service and meet the business needs is necessary to solve the above problems. Reasonable resource optimization can be performed on multiple indicators such as link delay, reliability, and resource occupancy distribution of the power multimodal network [2]. (1) From the perspective of resource association and business relevance, the indicators of resource expenditure, link reliability, resource occupancy, and distribution in the power multimode network are analyzed, and the power multimode network resource optimization model is designed to ensure service quality of the power multimode network (2) Based on the NSGA-II algorithm, a power multimodal network resource optimization allocation method is designed and implemented to solve the resource optimization problem.
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