Frontiers of Information Technology & Electronic Engineering
>> 2017,
Volume 18,
Issue 11
doi:
10.1631/FITEE.1601358
Article
A scheduling method based on a hybrid genetic particle swarm algorithm for multifunction phased array radar
. Air and Missile Defense College, Air Force Engineering University, Xi’an 710051, China.. Troop 94225, Rizhao 276000, China.. Troop 94710, Wuxi 214000, China.
Available online: 2018-03-08
Next
Previous
Abstract
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 effi-cient than existing algorithms.
京公网安备 11010502051620号
