Scheduling method for phased array radar over chaos adaptively genetic algorithm

Abstract

Aiming at time resource allocation in the phased array radar, a scheduling method over chaos adaptively genetic algorithm was proposed. The optimal scheduling model based on the pulse interleaving technique was established, and the chaos adaptively genetic algorithm was used to search solutions. The initial population was generated by the chaos theory and the adaptive crossover and mutation operators were designed to improve the efficiency of the algorithm. The simulation results demonstrate that, compared with the scheduling algorithm over genetic algorithm, the improved algorithm is more efficient and performs better.