Three-Dimensional Modelling and Multi-Algorithm Coordination Strategy for Optimising Occlusion Duration in Complex Dynamic Scenarios

Abstract

This paper focuses on optimising effective shielding duration within multi-target protection scenarios, proposing a solution that integrates geometric modelling with intelligent optimisation algorithms. By constructing a three-dimensional Cartesian coordinate system and establishing a geometric relationship model between targets and detection links, it precisely describes the parametric characteristics of each variable, thereby establishing distance calculation and indicator function mechanisms for shielding determination. For single-source deployment scenarios, a nonlinear programming model incorporating multiple decision variables is designed. Combined with genetic algorithms and local smoothing optimisation techniques, this achieves efficient solutions for shielding duration. For multi-source collaborative scenarios, a multi-agent collaborative optimisation framework is constructed using decision variable discretisation and exhaustive search strategies. This coordinates parameter configuration and temporal scheduling across deployment units to maximise global shielding effectiveness. Experimental results demonstrate that the proposed method significantly enhances effective masking duration, achieving an optimal single-source masking duration of 4.745 seconds and a total multi-source collaborative masking duration of approximately 23.7 seconds, thereby validating the scheme's effectiveness and engineering applicability.