Enterprise information system structure optimization based on time property with improved immune genetic algorithm and binary tree

摘要

This paper deals with how to optimize enterprise information system (EIS) structure based on time property. Once the EIS structure is formally represented, the time property corresponding to EIS structure expression can be obtained. Thus, aiming at the minimum time property, the EIS structure can be optimized. To this end, first, the formal representation of EIS structure based on object-based knowledge mesh (0KM) and binary tree is proposed. Second, different time properties corresponding to various structures are defined and clarified. Then, the optimal model of EIS structure is constructed. And then, the EIS structure model is optimized by the improved immune genetic algorithm (IGA) based on binary tree, niche algorithm and self-adaptive operators, and the steps of the improved IGA are presented in detail as well. Finally, the EIS structure optimization based on time property is illustrated by an example, which verifies the proposed approach.