Abstract: In order to achieve the multi-objective optimization of the storage business of electric power materials under the effect of good economic benefits, a multi-objective optimization model of the storage business of electric power materials based on the analysis of the characteristics of game correlation is proposed. Firstly, the electric power material storage business under the economic benefits is extracted by association rules. Then the feature decomposition and optimization extraction of electric power material storage business are carried out by the multi-objective optimization method of fuzzy association rules to complete the centralized multi-objective optimization of the established storage business, and the adaptive score of electric power material storage business under the economic benefits is carried out by the game correlation feature analysis method block matching. Finally, combined with deep learning method, the multi-objective optimization decision-making of electric power material storage business under economic benefits is realized. The experimental results show that after the application of the new optimization model, the multi-objective decision-making and evaluation level of the power material storage business is significantly improved, which fundamentally improves the dispatching ability of the power material storage business under economic benefits.

Key words: economic benefits, power materials, warehousing business, multi-objective