遺伝的プログラミングの最適化結果に基づく設計知識獲得に関する一考察

抄録

In this paper, I show the usefulness of Genetic Programming, which is extensively studied in recent years, and the necessity of considering the result. I explain why I study this method by chapter 1and explain Genetic Programming and Genetic Algorithms by chapter 2. In chapter 3, I describe the function estimation problem discussed for simplicity and the solution method for this problem. Since it is necessary to perform multi-objective optimization. I explain the k-means methods by chapter 4 in order to cluster optimal solutions for analyzing the results. In chapter 5, I show the result and examine the relationship between the structure of the optimal solution and the objective function value. I describe the conclusion and future prospect in chapter 6. In the future, I want to apply this method to various problems.