一种基于遗传算法的高频频段频率分配问题求解方法

S. Sadkhan
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引用次数: 7

摘要

电磁兼容(EMC)问题被认为是一个复杂的科学问题。它服从背包问题的约束,众所周知,随着所考虑的问题的变量数量的增加,解将变得非常复杂。针对高频无线电台的频率分配问题,提出了一种基于遗传算法的电磁兼容解决方法,并对其进行了建模和仿真。频带,用于特定的地理区域,以及非常有限的频带,尤指军事用途。本文介绍了频率分配问题,重点讨论了在频率分配问题中起重要作用的各种干扰类型。本文通过从军事环境中获取的许多案例研究,通过与解决该问题的传统方法(反向跟踪方法)的比较,讨论了所提出方法的性能评估。与传统方法相比,该方法所花费的时间更短。
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A Proposed Genetic Based Method to Solve Frequency Assignment Problem for HF Band
The Electromagnetic Compatibility (EMC) problem is considered as complex scientific problem. It obeys to knapsack problem constraints in which, it is well known, that at increasing the number of variables of the problem under consideration, the solution will become very complex.This paper provides a modeling and simulation of a proposed method to solve the EMC problem based on the genetic algorithm, relating to problem of distributing the frequencies among wireless radio stations operating in High Frequency (H.F.) Band, used in specified geographical region, and a very restricted frequency band, especially in Military applications. The paper provides a description of the Frequency Assignment Problem (FAP), and it focuses on the different interference types, that have great role in this problem.This paper discusses the performance evaluation of the proposed method via it’s comparison with the conventional method (Back Tracking Method) used in the solution of this problem, through many case studies taken from the military environments. The time taken by the proposed method is smaller than that taken by conventional method.
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