Project multi-objective combination optimization method and system

Abstract

The invention provides a project multi-objective combination optimization method and system. The method comprises the following steps: establishing a power grid project comprehensive evaluation index system which comprises comprehensive evaluation indexes in four aspects of safety, reliability, economy and coordination; calculating the subjective weight of each comprehensive evaluation index by using a subjective weight calculation model of a set value iteration method; calculating the objective weight of each comprehensive evaluation index by using an objective weight calculation model of an entropy weight method; utilizing an optimal combination weight calculation model of a moment estimation theory, and integrating the subjective weight and the objective weight to form an optimal combination weight of the evaluation index; and in combination with the comprehensive evaluation index system and the optimal combination weight, performing combination optimization by using a dynamic population evolution algorithm. According to the method, the optimal project combination is solved by applying a dynamic population evolution algorithm.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a method and system for optimizing multi-objective combination of items. Background technique [0002] At present, when applying for power projects, there is a lack of objective and effective optimization methods to optimize the combination of projects, especially in terms of project combination optimization. At present, there is a lack of multi-objective selection methods for projects, and it is impossible to maximize the benefits of optimal project combinations when the investment amount is determined. As a result, the efficiency of newly added assets cannot play its due positive role, and there may be problems such as multiple project declarations and repeated project approval, which is very likely to cause waste of resources and existing hidden dangers that cannot be solved in a targeted manner. Therefore, it is necessary to realize the real-time adjustment of project...

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Problems solved by technology

[0002] At present, when applying for power projects, there is a lack of objective and effective optimization methods to optimize the combination of projects, especially in terms of project combination optimization. At present, there is a lack of multi-objective selection methods for projects, and it is impossible to maximize the benefits of optimal project combinations when the investment amount is determined. As a result, the performance of newly added assets cannot play its due positive role, and there may be problems such as multiple project declarations and repeated project approval, which are very likely to cause waste of resources and existing hidden dangers that cannot be solved in a targeted manner.

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