In many cases, some programs often have some milestone activities that decision makers need to pay attention to.In this case, managers must efficiently describe these different decision-making spaces and use this as a basis to optimize possible solutions.Choosing a suitable decision-making space has always been a major factor in decision-making management, and it is also one of the Meters key factors that managers must determine when making plans.
Multi-objective optimization is to optimize multiple objectives at the same time.Multi-objective optimization algorithms have been widely used in many technology industries.This article researched from two parts: model display and optimization algorithm.
The first is to deepen the basic characteristics of project planning and decision-making when there are more decision-making spaces.Based on the existing decision-making network planning methods, combined with the situation analysis method, a decision-making network planning model that can show more decision-making space is established.Secondly, based on the actual improvement requirements, the multi-objective optimization method in the multi-decision network design model and the simulation model of activity exercise data are established.
The purpose is to create a relatively complete project planning decision model and optimization algorithm that can select multiple decision spaces at the same time through the above Boot Pulls experimental research.