GA-Based Optimal Allocation of Sensor Resources

被引：0

作者：

Chen, Jin-xia ^{[1
]}

Chen, De-feng ^{[1
]}

Wang, Yan ^{[1
]}

机构：

[1] Beijing Inst Technol, Sch Informat & Elect, Beijing 100081, Peoples R China

来源：

2013 IEEE INTERNATIONAL CONFERENCE ON MICROWAVE TECHNOLOGY & COMPUTATIONAL ELECTROMAGNETICS (ICMTCE) | 2013年

关键词：

Conflicts; Resource Allocation; the Genetic Algorithm; Tracking;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This work examines a straightforward solution to a problem of space surveillance resource allocation by exploring the application of an optimal algorithm to a subset of the general scheduling problem. Due to the resource constraints of the surveillance resource, there could be some serious conflicts among observation requirements. To solve the problem of conflicts in the work of sensor resources allocation, the Genetic Algorithm (GA) and the adapting priority weights method are used to optimize the allocation of sensor resources to maximize the satisfaction of the object observation requirements and the higher priority visibilities can be scheduled with higher success likelihoods.

引用

页码：395 / 397

页数：3

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