Research on New Methods of Multi-project Based on Entropy and Particle Swarm Optimization for Resource Leveling Problem

摘要

The resource leveling optimization is an important content of project management, and the optimization of resource leveling are helpful to solve the contradiction between the requirements and supply, which is of significant importance to the project management. The existing research focus on the innovation of the method, and the research on the innovation of the resource equilibrium model are relatively few. Therefore, in this paper, a resource leveling optimization model of multi-project based on entropy function is designed. Simultaneously, genetic algorithm is adopted to solve this problem.