Evolving agent-based models using self-adaptive complexification

نویسندگان

  • Michael Wagner
  • Wentong Cai
  • Michael Lees
  • Heiko Aydt
چکیده

This paper focuses on parameter search for multi-agent based models using evolutionary algorithms. Large numbers and variable dimensions of parameters require an optimization method which can efficiently handle a high dimensional search space. We are proposing the use of complexification as it emulates the natural way of evolution by starting with a small constrained search space and expanding it vailable online xxx

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عنوان ژورنال:
  • J. Comput. Science

دوره 10  شماره 

صفحات  -

تاریخ انتشار 2015