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

Phased-Array Radar Task Scheduling Method for Hypersonic-Glide Vehicles

“…The particle swarm algorithm simulates the foraging process of birds in nature. During the foraging process, the birds cooperate and exchange information to constantly move closer to the food area [13]. Abstract birds into particles and apply the process of bird foraging to engineering practice.…”

“…Reference [12] studied the resource management problem of multiple-input and multiple-output (MIMO) radar for multitarget tracking and pointed out that the optimal sampling period, transmission power, and subarray selection are all resource allocations in the time domain, which reduces the number of variables for problem solving. Reference [13] is based on the pulse interleaving scheduling method by setting the objective function and constraint conditions, using a hybrid particle swarm genetic algorithm to solve the optimal scheduling plan and successfully transforms the radar scheduling problem into an optimization problem. To quantify the benefit value of the radar task at different start times, reference [14] designed a task scheduler based on the two-slope benefit function.…”

Variable scheduling interval task scheduling for phased array radar

“…(i) The successful scheduling ratio (SSR), which is the ratio between the number of all successfully scheduled tasks N suc and that of all request tasks N total . The SSR [7,11,12,18,20,21,25,26] can be expressed as…”

“…where min Δt SI (k) is the minimum time that the SI can be shortened when its time can accommodate all request tasks. It satisfies min Δt SI (k) = max{t SI min , ξ(k)} (27) when (26) gets the equal sign, adjust time of S(k ov ) and SI1 (and SI2) to their fit values. It is noticeable that when N = 2, time of SI1 should be prior shortened to min Δt SI (1).…”

“…Abdelaziz et al [24 -26] proposed the scheduling method based on the swarm search. Abdelaziz et al [24] offered the tabu search scheduling algorithm, Zhang et al provided the chaos adaptively genetic algorithm [25] and Zhang et al proposed the hybrid genetic particle swarm algorithm [26]. They all enhanced the stability and the robustness of task scheduling for the phased array radar.…”