Scheduling Resource-Constrained Projects with Ant Colony Optimization Artificial Agents

作者：Christodoulou Symeon M^*

来源：Journal of Computing in Civil Engineering, 2010, 24(1): 45-55.

DOI：10.1061/(ASCE)0887-3801(2010)24:1(45)

• Computerized scheduling
• Resource management
• Artificial intelligence
• Ant colony
• Optimization

The paper presents a methodology to schedule resource-constrained construction projects by use of algorithms based on ant colony optimization (ACO); an artificial agent inspired by the collective behavior of natural ant colonies as they optimize their path from an origin (ant nest) to a destination (food source) by use of previously acquired knowledge. Further, to an application of the ACO artificial agent to a resource-unconstrained network topology, the method is applied to a resource-constrained network and utilized in examining the effects of resource availability constraints to critical path calculations and project completion time.

• 出版日期2010-2