Application and Theory of Evolutionary Computation based on Autonomous Operators

2014 Fiscal Year Final Research Report

• Project/Area Number: 22500208
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Single-year Grants
• Section: 一般
• Research Field: Sensitivity informatics/Soft computing
• Research Institution: Osaka Prefecture University
• Principal Investigator: MORI Naoki 大阪府立大学, 工学(系)研究科(研究院), 准教授 (90295717)
• Project Period (FY): 2010-04-01 – 2015-03-31
• Keywords: 進化型計算 / 自律的遺伝演算子 / タマホコリカビ型遺伝アルゴリズム / 対話型進化型計算 / GUIシステム

Outline of Final Research Achievements

In this research, I have studied novel evolutionary computation based on autonomous genetic operators and obtained following results. First, I have researched about evolutionary computation framework with flexible operator expression and made Java library of the proposed method. Next, I have proposed a novel method called the Dictyostelium based Genetic Algorithm (DGA), which adopts concept of life cycle of slime molds and can take a balance between exploitation and exploration. Finally, I applied my methods to real world problems; interactive evolutionary computation based on communication by pictures and evolution of trading strategy by genetic programming. I showed the effectiveness of my research by those results.

Free Research Field

進化型計算