Multi-objective Integrated Management of Engineering Project Based on Genetic Hybrid Optimization Algorithm

Abstract

Under the background of the rapid development of computer network technology, the algorithm used in engineering is also making continuous progress. The multi-objective integrated management of engineering projects must adapt to the pace of development of The Times, and constantly improve the optimization algorithm, so that the algorithm can serve the field of engineering projects. The optimization and improvement of algorithm are of great significance to engineering project management, especially multi-objective integrated management of engineering project. It is necessary to strengthen the research of genetic hybrid optimization algorithm for engineering project development. This article studied the genetic hybrid optimization algorithm based on the study of the multi-objective integrated project management, is introduced to define genetic hybrid optimization algorithm, principle of multi-objective project related theory and knowledge, etc., by using functional analysis method based on genetic hybrid optimization algorithm of the multi-objective integrated project management effect comparison, Compare the advantages of genetic hybrid optimization algorithm. This paper uses data to analyze the effect of engineering projects, which has significant advantages in many aspects of multi-objective integrated management of engineering projects. Through data testing, the comprehensive evaluation rate of engineering projects reaches 89.12%, 90.23%, 95.32%, 98.10% respectively.