Application and Theory of Evolutionary Computation based on Autonomous Operators
| Project/Area Number |
22500208
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Sensitivity informatics/Soft computing
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| Research Institution | Osaka Prefecture University |
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Principal Investigator |
MORI Naoki 大阪府立大学, 工学(系)研究科(研究院), 准教授 (90295717)
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| Project Period (FY) |
2010-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2013: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2012: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2011: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2010: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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| 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 / 遺伝的アルゴリズム / 最適化 / GAライブラリ / タマホコリカビ型遺伝的アルゴリズム / 遺伝的プログラミング / サポートベクターマシン / エピスタシス / 絵情報共有型会話エージェント / クラウド環境 / 柔軟な表現 / 人工無脳 / ボラティリティモデル |
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| 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.
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Report
(5 results)
Research Products
(49 results)
