A scheduling method based on a hybrid genetic particle swarm algorithm for multifunction phased array radar

作     者：Hao-wei ZHANG Jun-wei XIE Wen-long LU Chuan SHENG Bin-feng ZONG 

作者机构：Air and Missile Defense College Air Force Engineering University Xi'an 710051 China Troop 94225 Rizhao 276000 China Troop 94710 Wuxi 214000 China 

基　　金：Project supported by the National Natural Science Foundation of China (Nos. 61503408 and 61601504) 

出 版 物：《Frontiers of Information Technology & Electronic Engineering》 (信息与电子工程前沿（英文版）)

年 卷 期：2017年第18卷第11期

页      码：1806-1816页

摘      要：A hybrid optimization approach combining a particle swarm algorithm, a genetic algorithm, and a heuristic interleaving algorithm is proposed for scheduling tasks in the multifunction phased array radar. By optimizing parameters using chaos theory, designing the dynamic inertia weight for the particle swarm algorithm as well as introducing crossover operation and mutation operation of the genetic algorithm, both the efficiency and exploration ability of the hybrid algorithm are improved. Under the frame of the intelligence algorithm, the heuristic interleaving scheduling algorithm is presented to further use the time resource of the task waiting duration. A large-scale simulation demonstrates that the proposed algorithm is more robust and efficient than existing algorithms.

主 题 词：Phased array radar Scheduling Particle swarm algorithm Genetic algorithm Pulse interleave 

学科分类：081203[081203] 08[工学] 0835[0835] 0812[工学-测绘类] 

核心收录：

D　O　I：10.1631/FITEE.1601358

馆 藏 号：203281929...