Evolving agent-based models using self-adaptive complexification
نویسندگان
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
منابع مشابه
Evolving Agent-based Models Using Complexification Approach
This paper focuses on parameter search for multi-agent based models using evolutionary algorithms. Large numbers and variable dimensions of parameters require a search 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 as t...
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عنوان ژورنال:
- J. Comput. Science
دوره 10 شماره
صفحات -
تاریخ انتشار 2015