Data optimization system for economic management

Abstract

The invention relates to the technical field of data processing, and particularly discloses a data optimization system for economic management, which comprises a computer resource demand prediction module, a resource allocation benefit evaluation module and a resource allocation optimization module. The demand prediction module is used for predicting future resource demands by collecting performance index data in real time in combination with an ARIMA model and an LSTM network; the resource configuration benefit evaluation module arranges resource configuration and economic benefit data, establishes an economic benefit function, and represents a nonlinear relationship between resource configuration and benefit; and the resource allocation optimization module globally optimizes the economic benefit function by adopting a genetic algorithm, and finds an optimal resource allocation strategy. Through dynamic evaluation and optimization, excessive or insufficient allocation of resources is avoided, a local optimal solution is avoided by using a genetic algorithm, and economic benefit maximization is realized.

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