Simulated annealing whale radar resource scheduling algorithm based on Cauchy mutation

Abstract

In order to improve the effectiveness of radar resource scheduling, a Cauchy mutation simulated annealing whale radar resource scheduling algorithm is proposed in this study. The algorithm integrates the time resources, computing resources and the number of tasks completed of the radar. The algorithm is based on the degree of attribute matching between phased array radar data channels and tasks, so as to establish the task assignment model of the phased array radar for multiple targets. The idea of Cauchy mutation and simulated annealing is integrated into the whale optimization algorithm, which improves the optimization effect of the algorithm. Compared with the more popular camel optimization algorithm and balance optimization algorithm, the algorithm proposed in this paper has better performance in tracking task scheduling rate, average time shifting rate and scheduling value. The algorithm also shows excellent ability to solve the radar task scheduling issues.