Frequency planning method, device and computer equipment based on multi-objective optimization

Abstract

The present application relates to a frequency utilization planning method, device, computer equipment and storage medium based on multi-objective optimization. The method includes: introducing multi-objective optimization theory, establishing a multi-objective frequency planning model with the least interference conflict, the highest demand satisfaction and the lowest adjacent frequency risk as optimization objectives, and proposing a non-dominated sorting method for solving the frequency planning problem Ant Colony Algorithm. In the ant colony initialization stage, the hill-climbing algorithm with a greedy strategy is used to obtain the suboptimal solution set to improve the early convergence speed of the ant colony; and the community detection mechanism is used to cluster the frequency-using devices to reduce the computational complexity of electromagnetic interference analysis and speed up the algorithm process. At the same time, in each iteration of the algorithm, the scheduling improvement operation is performed on the obtained frequency planning scheme, and parameters such as pheromone volatilization coefficient are adaptively adjusted to improve the global optimization performance of the algorithm. The present invention takes into account the multiplexing of the time domain of the frequency-using equipment, and realizes the overall planning and scheduling of the air domain, the frequency domain, the energy domain and other dimensions, and the effect is better.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a multi-objective optimization-based frequency utilization planning method, device, computer equipment and storage medium. Background technique [0002] With the development of modern informatization, communication, radar detection, satellite navigation, electronic countermeasures, etc. all need to obtain sufficient electromagnetic spectrum resource support. Under the condition of limited spectrum resources, how to implement real-time and accurate frequency planning has become the key to improving the performance of frequency-using equipment. [0003] The research methods of frequency programming mainly include deterministic algorithm, game theory, graph coloring, auction theory, intelligent optimization algorithm, etc. In the existing technology, the concept of graph theory is introduced to improve the exhaustive search method to improve the real-time performance of...

AI Technical Summary

Problems solved by technology

[0004] However, in the current literature on frequency planning issues, the modeling usually only has one-dimensional variables in the frequency domain, and the obtained frequency planning scheme only includes the assignment scheme of the frequency points of each frequency equipment Coordinated scheduling in multiple dimensions such as time domain, air domain, frequency domain, and energy domain

At the same time, it is difficult for the planning model to accurately describe the considerations and requirements of decision makers for the expected implementation of the frequency planning scheme, which may lead to deviations in the judgment of the pros and cons of the solution, resulting in the loss of the ideal frequency planning scheme, and the problem of poor planning effect

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