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- Akinori Kanasugi
- JSAI Workshops
- 2001

- T. Kamimura, A. Kanasugi
- 2012 6th International Conference on New Trends…
- 2012

Genetic algorithm (GA) is one of optimization algorithm based on an idea for evolution of life. GA can be applied various combination optimization problem. This paper proposes a parallel processor for distributed genetic algorithm (DGA) with redundant binary number. Since a redundant binary number has redundancy, solution expression becomes variegated. For… (More)

- Akinori Kanasugi, Mitsuhiro Matsumoto
- RSEISP
- 2007

- Akinori Kanasugi, Akihiko Tsukahara
- 2006 International Conference on Hybrid…
- 2006

This paper proposes a novel processor for genetic algorithm (GA) using dynamically reconfigurable memory. In general GA, number of population is always constant. However, accuracy of solution is low at first-half stage. Therefore, the number of population is doubled at the expense of accuracy of solution, and the searching ability is improved at first-half… (More)

- Akira Murayama, Akinori Kanasugi
- Artificial Life and Robotics
- 2010

This article proposes a novel genetic algorithm (GA) which switches the expression of the solution from a redundant binary number to a usual binary number. Furthermore, a GA which switches the expression from the Gray code to the usual binary number is proposed and compared. Comparisons of the performances among five GAs (binary number, redundant binary… (More)

- Masanao Aoshima, Akinori Kanasugi
- 2011 6th International Conference on Computer…
- 2008

This paper describes a design of novel processor for genetic algorithm (GA) based on redundant binary number. In conventional GA, genetic information is expressed by binary number. On the other hand, the proposed processor is based on redundant binary number. Therefore, the number of expression of optimized solutions for the target function increase. For… (More)

- Akihiko Tsukahara, Akinori Kanasugi
- 2007 Frontiers in the Convergence of Bioscience…
- 2007

This paper proposes a novel processor for genetic algorithm (GA) that can dynamically change number of individuals and accuracy. In conventional GA, number of population and accuracy are fixed. However, the accuracy of solution is low at first-half stage. Therefore, the number of population is doubled at expense of the accuracy of solution, and the… (More)

- Yuki Hayakawa, Akinori Kanasugi
- Artificial Life and Robotics
- 2010

H.264/AVC provides high video quality at substantially low bit rates. It is useful for saving and transferring video images by robot cameras. However, the computational complexity of H.264/AVC is very high. A high-speed general-purpose processor is necessary to process H.264/AVC. However, it is difficult to use such a processor for a portable device.… (More)

- Mititada Morisue, Masayuki Yamadaya, Hiroshi Noguchi, Akinori Kanasugi
- Int. J. Intell. Syst.
- 1997

- Akinori Kanasugi, Takashi Shimayama, Naoshi Nakaya, Takeshi Iizuka
- Rough Sets and Current Trends in Computing
- 1998