Optimized Grey Model Based on Cuckoo Search Algorithm and Its Prediction Application

摘要

The prediction is complex structure and the grey theory is a multidisciplinary and generic theory that deals with systems that lack adequate information and/or have only poor information. GM(1, 1) model is one of the frequently used basic model of grey prediction with simple structure. Based on the grey prediction modeling theory and with an analysis of the shortages of GM(1, 1) model, an adaptive multi-variable optimized grey model based on cuckoo search algorithm is proposed, which reconstructs whitening background values and initial conditions in view of the relationship among many related reduction feature information. Several experiments are taken for prediction and analysis, and the results show that the new model has high precision and practicability.