Evolutionary Design of Agent-based Simulation Experiments (Demonstration)

نویسندگان

  • James Decraene
  • Yew Ti Lee
  • Fanchao Zeng
  • Mahinthan Chandramohan
  • Yong Yong Cheng
  • Malcolm Yoke Hean Low
چکیده

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.

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تاریخ انتشار 2011