Rescheduling of the complex avionics parallel debugging tasks commissioning with limited resources
To enhance debugging efficiency,this article addresses the problem of parallel debugging in complex aviation electronic product testing by establishing a static optimization model for test scheduling aimed at minimizing the maximum completion time,which is solved using an improved discrete particle swarm optimization(IDPSO)algorithm.In response to the dynamic disturbances present in the elect-ronic product test environment,a rescheduling scheme driven by a mix of periodic and event triggers is proposed,which is based on a fitness differential threshold mechanism.The effectiveness of the model,algorithm,and rescheduling strategy has been experimentally validated,providing theoretical guidelines and methodological support for research into the scheduling of parallel debugging for complex aviation electronics products.
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