Multi-Resource Leveling Optimization of Large-Scale Projects in Perspective of Dynamic Investment

According to the main defects of the existing research on resource leveling problem, this paper put forward the multi-resource leveling optimization problem of large-scale construction projects in perspective of dynamic investment. By bringing in the concept of resource entropy and the idea of maximum net present value (NPV), resource leveling optimization model based on entropy function in perspective of dynamic investment was proposed. In order to overcome the shortcomings of traditional algorithms such as heuristic algorithms, the idea and method of searching for the Pareto optimal solutions of the model was presented based on genetic algorithm (GA).