Integrated Agent-based modeling and optimization in complex systems analysis

This paper presents two case studies on the use of agent-based modeling in the design of complex systems. In the first case study, elements of a self-organizing system are modeled as agents so that their interactions and system-level behavior can be analyzed and optimized to design a protective convoy. The use of agent-based modeling enables a fast simulation-optimization loop for the optimization of behavioral parameters. In the second case study, users of the system are modeled as agents, so the co-evolution of user and system behavior can be modeled in the selection of a seating layout. This modeling provides insight into the social desires of consumers, in addition to the structural properties of the seating layout, allowing a deeper understanding of customer satisfaction and system performance.