Does it matter where you start? A Comparison of Two Initialisation Strategies for Grammar Guided Genetic Programming

نویسندگان

  • Tuan Hao Hoang
  • Nguyen Xuan Hoai
چکیده

In this paper, we experimentally show that the initialization process is very important for Grammar Guided Genetic Programming (GGGP). In particular, using different initialization trategies (algorithms) can lead to very different overall results with GGGP. We also show that on the problems tried, the initialization algorithm from Tree Adjoining Grammar Guided Genetic Programming (TAG3P) helps GGGP improve its performance compared with the use of the standard initialization algorithm proposed in [10, 11].

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تاریخ انتشار 2007