Task Scheduling of Phased Array Radar Based on Hybrid Adaptive Genetic Algorithm

ZHANG Hao-wei;XIE Jun-wei;ZHANG Zhao-jian;ZONG Bin-feng;CHEN Tang-jun

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  • Sponsored by: China Association for Science and Technology (CAST)

    Editor-In-Chief: Xu Yida

    ISSN 1000-1093

    　

  • Hosted By: China Ordnance Society

    Published By: Acta Armamentarii

    CN 11-2176/TJ

Acta Armamentarii, a Chinese monthly journal, was first published in 1979. The journal is supervised by China Association for Science and Technology, sponsored by China Ordnance Society，and edited and published by Editorial Board of Acta Armamentarii. The Journal is included in all important domestic databases，and also collected by Engineering Index (EI, USA), Chemical Abstracts (CA, USA), Science Abstracts (SA, UK）, Abstract Journal (AJ, Russia), and Current Bibliography on Science and Technology(CBST).Acta Armamentarii has been selected into the journal Of Ordnance Science and Technology (Weapons Industry) Field Of High Quality Scientific and Technological Periodical Classification Catalogue (2022 edition), ranking T1, and the journal of Automotive Engineering Field of High Quality Scientific and technological Periodical classification Catalogue, ranking T2.
Acta Armamentarii ›› 2017, Vol. 38 ›› Issue (9) : 1761-1770. DOI: 10.3969/j.issn.1000-1093.2017.09.013
Paper

Task Scheduling of Phased Array Radar Based on Hybrid Adaptive Genetic Algorithm

  • ZHANG Hao-wei1, XIE Jun-wei1, ZHANG Zhao-jian1, ZONG Bin-feng2, CHEN Tang-jun3
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Abstract

A hybrid adaptive genetic algorithm is proposed for the task scheduling of phased array radar. An optimal scheduling model for phased array radar is established. The performance and efficiency of the algorithm are improved by optimizing the initial population by the chaos theory, adopting the selection strategy of elite reservation and mixed ranking, and designing the adaptive crossover and mutation operators. A heuristic pulse interleaving algorithm is presented based on the adaptive genetic algorithm. It could utilize the waiting period in a task to execute the transmitting period or receiving period of other task. The simulated results demonstrate that the proposed algorithm provides better results and search solutions more quickly than the genetic algorithm. Moreover, compared with the heuristic scheduling algorithm, the proposed algorithm improves the scheduling success ratio, time utilization ratio and high value ratio, and decreases the average time shift ratio efficiently. Key

Key words

ordnancescienceandtechnology / phasedarrayradar / scheduling / adaptivegeneticalgorithm / chaostheory / pulseinterleaving

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ZHANG Hao-wei, XIE Jun-wei, ZHANG Zhao-jian, ZONG Bin-feng, CHEN Tang-jun. Task Scheduling of Phased Array Radar Based on Hybrid Adaptive Genetic Algorithm. Acta Armamentarii. 2017, 38(9): 1761-1770 https://doi.org/10.3969/j.issn.1000-1093.2017.09.013

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第38卷第9期2017年9月兵工学报ACTA
ARMAMENTARIIVol.38No.9Sep. 2017

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