Multi-Interference Missile Delivery Model Based on Particle Swarm Optimization Algorithm and Cross-Entropy Method

Abstract

By deploying smoke-filled decoys to specific locations, enemy missiles can be disrupted, offering advantages such as low cost and high cost-effectiveness. This paper establishes effective shielding conditions by ensuring the distance from the point to the line segment is less than the sphere's radius. It defines decision variables such as missile coordinates, drone speed, and direction, with the objective function being to maximize shielding duration. Constraints include time, speed, and direction angle. To solve the multi-objective model, the particle swarm optimization algorithm and cross-entropy method are applied based on different target requirements to determine the global optimal solution. Data validation confirms that the proposed model and solution method accurately calculate effective concealment duration, enabling the establishment of optimal smoke decoy deployment strategies.