Heterogeneous aircraft multi-task cooperation allocation method considering timing sequence constraint
A technology of timing constraints and allocation methods, applied in the direction of instruments, genetic rules, data processing applications, etc., can solve problems such as unfeasible solutions
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[0072] In order to verify the effectiveness of the method of the present invention, a heterogeneous aircraft multi-task cooperative allocation method (Task Precedence Gene Algorithm, TP-GA) and random search method (Random Search Method, RSM) disclosed in the embodiment are used respectively. Solve the multi-task cooperative assignment problem of heterogeneous aircraft in the modern weapon mission planning system. The simulation hardware is Intel Core i5-2310CPU 3.10GHz 4G memory, and the simulation environment is MATLAB. In each iteration of TP-GA, 66% of offspring are generated by crossover, 32% of offspring are generated by overall mutation, and the remaining 2% are used to retain the best individual in the parent generation. In addition, RSM randomly generates nfe chromosomes that meet the constraints according to the number of model calls nfe, and selects the optimal individual as the result output.
[0073] Two different scenarios are used to illustrate the feasibility ...
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