摘要

How to select appropriate projects which meet requirements of all aspects from an amount of varied grid projects is a very complicated and practical task. In view of the above issue, based on the established project library, this paper presents an integrated decision optimization method which is applicable for different appraisal systems and scoring systems. Firstly, the project library is built by projects labeled with multiple properties in order to be intensively planned and managed. Secondly, tabs of each project are inspected to sift out the one that fits constraints. Moreover, computational data of every selected project portfolio is calculated to provide reference for subsequent screening thus forming the two-stage process. Furthermore, considering the characteristics of grid projects and features of various intelligence algorithms, chaotic artificial bee colony algorithm is adopted and finally the validity of the proposed method is verified by an example.

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