evolutionary design of agent-based simulation experiments
We present CASE (complex adaptive systems evolver), a framework devised to conduct the design of agent-based simulation experiments using evolutionary computation techniques. This framework enables one to optimize complex agent-based systems, to exhibit pre-specified behavior of interest, through the use of multi-objective evolutionary algorithms and cloud computing facilities.
agent-based simulation evolutionary computation design of experiments