Author(s)

TianJian Zhong

Affiliation(s)

School of Automation, Central South University, Changsha 410083, Hunan, China.

Corresponding Author

TianJian Zhong

ABSTRACT

This paper investigates optimal defense strategies for countering single or multiple high-speed incoming missiles by deploying smoke screen decoys through coordinated operations of multiple unmanned aerial vehicles (UAVs) in complex dynamic battlefield environments. The research focuses on the challenging problem of multi-agent cooperative defense and large-scale resource allocation. First, for a three-UAV, single-decoys cooperative countermeasure strategy, a joint optimization model incorporating parameters such as UAV flight direction, velocity, deployment timing, and detonation timing is constructed. A differential evolution algorithm is employed to solve this high-dimensional combinatorial optimization problem. Through iterative differential evolution, optimal parameter configurations for the three UAVs are obtained, achieving effective shielding against missile M1. Subsequently, the scenario is expanded to the most complex five-UAV, three-missile integrated defense problem. This problem involves multiple UAVs, multiple missiles, multiple missile deployments, and resource allocation, constituting a typical large-scale combinatorial optimization problem. This paper innovatively proposes a two-layer hybrid optimization framework combining the Hungarian algorithm and genetic algorithm. The upper layer utilizes the Hungarian algorithm to determine the optimal task allocation between missiles and UAVs, minimizing the initial distance cost to ensure optimal spatial separation. The lower layer, with fixed allocations, employs a genetic algorithm to refine the deployment parameters for each UAV. The final optimized solution successfully achieves comprehensive interference against three missiles, demonstrating the dual-layer model's capability to obtain near-global-optimal multi-objective defense strategies while ensuring real-time feasibility.

KEYWORDS

Spatial coordinate system; Kinematic model; Genetic algorithm

CITE THIS PAPER

TianJian Zhong. Multi-agent coordination and resource allocation optimization strategies for smoke screen deployment against dynamic targets. World Journal of Engineering Research. 2025, 3(6): 50-54. DOI: https://doi.org/10.61784/wjer3071.

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