关键词: 遗传算法, 工程项目, 资源均衡, 优化

Abstract: The objective of this paper is to present a GA-based optimal model for resource leveling problem，which overcomes the drawbacks of traditional resource leveling models.Based on the problem characteristics，the code scheme，genetic operators and a new repairing strategy are designed to repair the illeagal chromosomes in the course of crossover.A case example is presented to demonstrate the performance of the GA-based model against the traditional heuristic methods and the calculation results show that the GA-based model is more flexible and suitable for large engineering project.

Key words: genetic algorithms, engineering project, resource leveling, optimization