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Journal of System Simulation

Abstract

Abstract: In pre-combat task planning for cross-domain cooperative combat operations, to solve the problems of diverse and complex constraints and difficulties in solving planning models caused by performance differences of unmanned systems and increased requirements for cooperative combat operations, a multi-strategy enhanced grey wolf optimization (MSEGWO) algorithm was proposed. By considering various complex constraints such as performance of each type of unmanned systems, munition usage, task timing, task time window, and flight path, a task planning mathematical model with minimizing the comprehensive cost as the objective was established. Improvement strategies such as nonlinear adjustment of convergence factor, alternative solution space mapping, task sequencing repair, and enhanced search were designed to enhance the optimization ability of the algorithm. Simulation results demonstrate that the proposed algorithm can effectively solve the cross-domain cooperative combat operation task planning problem of unmanned systems under complex constraints and can adapt to problem scenarios of different scales and complexities.

First Page

785

Last Page

799

CLC

TP391.9

Recommended Citation

Fang Haojie, Zhen Ziyang, Gong Huajun, et al. Task Planning Method for Cross-domain Cooperative Combat Operations of Unmanned Systems Under Complex Constraints[J]. Journal of System Simulation, 2026, 38(3): 785-799.

Corresponding Author

Zhen Ziyang

DOI

10.16182/j.issn1004731x.joss.25-0577

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