2004 Fiscal Year Final Research Report Summary
Researches on Emergent Design by means of Interactive Evolutionary Computation and Genetic Programming
| Project/Area Number |
15300040
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Intelligent informatics
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| Research Institution | The University of Tokyo |
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Principal Investigator |
IBA Hitoshi The University of Tokyo, Graduate School of Frontier Sciences, Professor, 大学院・新領域創成科学研究科, 教授 (40302773)
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| Co-Investigator(Kenkyū-buntansha) |
ISHIZUKA Mitsuru The University of Tokyo, Graduate School of Information Science and Technology, Professor, 大学院・情報理工学研究科, 教授 (50114369)
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| Project Period (FY) |
2003 – 2004
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| Keywords | Genetic Programming / Evolutionary Computation / Emergent Design / Genetic Algorithms / Evolutionary Robotics / WWW / Evolvable Hardware / Musical Composition |
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| Research Abstract |
In this research, we have used Genetic Programming (GP) to establish the effective emergent design system by means of Interactive Evolutionary Computation (IEC).
Conventional optimization methods optimize target systems based on evaluation or cost functions and have been used for most of system optimization and parameter tuning. According to the increase of the importance of human factors, however, the cases that the performance of system design must be evaluated based on human subjective evaluations and domain knowledge came to increase. These cases include artistic systems generating preferable computer graphics (CG) or music, hearing-aid fitting for maximizing hearing satisfaction of its users, robots whose behaviors let our human feel comfortable, and others. IEC is a technique that optimizes target systems based on human evaluation. The number of IEC research has increased since 1990's, and it is widely used in artistic field, engineering field, and education and other fields nowadays. Not only IEC application research but also IEC interface research to reduce IEC users' fatigue problem increases, too.
To solve the above difficulties, in this research, we have realized GP-based emergent design framework. The effectiveness of our approach has been demonstrated by several applications, e.g., analog circuit design, musical composition, evolutionary robotics, agent designs in WWW space, and multi-agent cooperation learning.
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Research Products
(13 results)
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[Journal Article] Inference of Euler angles for single-particle analysis by means of evolutionary algorithms2003
Author(s)
Iba, H., Saeki, S., Asai, K., Takahashi, K., Ueno, Y., Isono, K.
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Journal Title
Biosystems vol.72, no.1-2
Pages: 43-55
Description
「研究成果報告書概要(欧文)」より
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