Design of computing auxiliary teaching system for fluid mechanics simulation based on multi-target genetic algorithm
In order to meet the multi-objective optimization requirements of complex fluid mechanics problems and optimize the effectiveness of auxiliary teaching,this article designs a higher accuracy and stronger targeted fluid mechanics simulation calculation auxiliary teaching system using multi-objective genetic algorithm.Firstly,select and design computing servers,storage devices,display devices,and input/output devices to provide hardware support for system operation.Secondly,design a fluid dynamics simulation calculation database to classify and store data related to fluid dynamics simulation calculations.Finally,based on this,multi-objective genetic algorithm is used for fluid dynamics simulation calculation to output the optimal solution that satisfies multiple constraint conditions.The test results show that the system maintains significant advantages in the accuracy of simulation computing resource allocation after application,and is suitable for assisting teaching in practical fluid mechanics simulation calculations.
multi-objective genetic algorithmfluid mechanicssimulationcomputationauxiliary and teaching system
NETL
NSTL
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