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首页> 外文期刊>IEEE Transactions on Aerospace and Electronic Systems >Genetic algorithm application to efficient utilization of the GSO
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Genetic algorithm application to efficient utilization of the GSO

机译:遗传算法在GSO有效利用中的应用

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Utilization of the geostationary satellite orbit (GSO) has reached full capacity in orbital arcs at certain longitudes. A variety of proposals and regulations have already been established to increase the number of possible satellite positions. The optimum satellite arrangement carried out by considering the geographical distribution of service areas is an effective strategy for efficient utilization of the GSO. The genetic algorithm (GA) method is applied here to optimize the satellite arrangement. Initially, an example of the optimum arrangement of eight satellites is demonstrated by using the GA method to ensure accuracy of the newly developed program. Subsequently, a multiple beam satellite system concept is introduced to further improve the efficient utilization of the GSO. Finally, 80 satellites (40 service areas) in the ITU Region 1 example is solved using the GA method, resulting in a quasi-optimum satellite arrangement solution. By using the GA method, the quasi-optimum solution can be obtained by very short (e.g., several ten seconds) calculation times.
机译:对地静止卫星轨道(GSO)的利用已在一定经度的轨道弧中达到了最大容量。已经建立了各种建议和法规以增加可能的卫星位置数量。考虑服务区的地理分布而进行的最佳卫星布置是有效利用GSO的有效策略。这里应用遗传算法(GA)方法来优化卫星布置。最初,通过使用GA方法演示了八个卫星的最佳布置示例,以确保新开发程序的准确性。随后,引入了多波束卫星系统概念,以进一步提高GSO的有效利用率。最后,使用GA方法解决了ITU 1区示例中的80颗卫星(40个服务区),从而产生了准最佳卫星布置解决方案。通过使用GA方法,可以通过非常短的(例如几十秒)计算时间来获得准最优解。

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