Research on New Methods of Resource Equilibrium Optimization Based on Particle Swarm

摘要

The resource equilibrium optimization is one of the main contents of project management Analyzing the resource requirements thoroughly and systematically, and making resource -equilibrium optimization is of significant importance to improve the overall efficiency of project construction. This paper started from the optimization of resources balanced parallel scheduling problems, and discussed multi-resource scheduling problem in detail under resource-constrained using PSO with Inertial Factor to the equilibrium and optimization of resources. According to the experimental analysis, PSO gets a good result in resolving the problem, but in most cases. Particle Swarm Optimization Method is faster than genetic algorithm on convergence speed.