Research on Task Allocation Based on Quantum Particle Swarm and Hybrid Algorithm of Cuckoo

Abstract

Aiming at the tracking task and interception task in air defense antimissile operations, a mathematical model of cooperative combat assignment is constructed. By using the global searching ability of the cuckoo algorithm and the fast and efficient local search ability of the quantum particle swarm algorithm, the framework and process of hybrid optimization, based on quantum particle swarm optimization and the cuckoo, are designed. Finally, an example is given to demonstrate the rationality of the task allocation model and the effectiveness and superiority of the proposed algorithm. It provides a method and reference for solving the problem of air defense antimissile assignment.