Multi-strategy improved distributed cross-domain collaborative task allocation optimization method
By building a multi-objective and multi-constraint optimization model and combining multiple optimization algorithms, a multi-strategy-improved distributed cross-domain collaborative task allocation optimization method is proposed, which solves the constraint complexity and timeliness in cross-domain collaborative task allocation, and realizes efficient task allocation and resource utilization.
Patent Information
- Application Number
- CN202510188143.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-20
- Publication Date
- 2025-03-21
- Estimated Expiration
- 2045-02-20
AI Technical Summary
The existing technology has problems such as complex constraints, large scale and high timeliness in cross-domain collaborative task allocation, and has failed to effectively solve the problem of unified allocation of multi-task goals.
A multi-strategy improved distributed cross-domain collaborative task allocation optimization method is proposed. By constructing a target allocation optimization model of comprehensive efficiency, time cost and resource utilization, as well as a control allocation optimization model of sensor detection capabilities, transmission link connectivity and backhaul link connectivity, it is combined with particle swarm algorithm, improved Fuch chaos mapping algorithm, lonely point reverse evolution algorithm and optimal individual local perturbation evolution algorithm for optimization calculations.
It improves the overall combat effectiveness, enhances the concealment and coordination between combat nodes, and effectively improves the efficiency of task execution and resource utilization.