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

作者：Zhang, Hao-wei^*; Xie, Jun-wei; Lu, Wen-long; Sheng, Chuan; Zong, Bin-feng

来源：Frontiers of Information Technology and Electronic Engineering, 2017, 18(11): 1806-1816.

DOI：10.1631/FITEE.1601358

• Phased array radar
• Scheduling
• Particle swarm algorithm
• Genetic algorithm
• Pulse interleave

A hybrid optimization approach combining a particle swarm algorithm, a genetic algorithm, and a heuristic inter-leaving 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.

• 出版日期2017-11
• 单位中国人民解放军空军工程大学