Research And Application Of Sequential Genetic Algorithm And Fuzzy Optimal Control

Shortage of assets resources in higher universities is a severe challenges in facing the present stage development of higher education.For universities,it is a problem to be solved that how to carry on the effective allocation of resources between projects and make the limited resources play the biggest role.Universities’ asset allocation of resources reflects the various situation of resources utilization,the universities demand in resources,and the problems existing in using these resources.Then it consequently guides to the appropriate allocation of resources for higher university.In view of the Ministry of Education’s optimizing allocation of resources in universities and under the discipline oriented and input-output performance expectations.The paper,firstly,uses the classic genetic algorithm to configure input index investment amount.Under the constraint of multiple objectives,it certainly reaches the expected goal when inputs indexes into,however,some of these indexes are inputted less into.For the problem that classical genetic algorithm fails to effectively solve,the paper tries to put forward the sequential genetic algorithm for the resources optimization control.It refers to the network structure of deep-learning,decomposes the restrictive conditions,transforms into multi-layer control problem,and then achieves the ultimate control problem through multilevel control.The sequential genetic algorithm could get the more reasonable result compared with classical genetic algorithm to get the optimal result through the experimental example.At the same time,it expands a single optimal configuration scheme for the optimal configuration area and through the control of the input quota,achieve the control of target performance.In the case that most of requirements of the resources allocation or portfolio are the problem of fuzzy representation,the paper promotes the application of sequence genetic algorithm and fuzzy optimization control based on the sequence genetic algorithm,in order to the resources optimization configuration results introduced into the fuzzy representation,and so that the results more reasonable.