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北山哲士著
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北山, 哲士 ; 荒川, 雅生 ; 山崎, 光悦 ; Kitayama, Satoshi ; Arakawa, Masao ; Yamazaki, Koetsu
概要:
金沢大学理工研究域機械工学系<br />This paper proposes a new method which is called as Adaptive Range Particle Swarm Optimization (ARPS
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O), based on Adaptive Range Genetic Algorithm. That is, the search domain is determined by using the mean and standard deviation of each design variable. At the initial search stage it is preferable to explore the design domain widely, and is also preferable to explore the small design domain as the search goes on. To achieve this objective, new parameter which determines the search domain is introduced. Through numerical examples, the effectiveness and validity of proposed method are examined.<br />本講演では,連続型多峰性関数の大域的最適解を求めるために開発されたParticle Swarm Optimizationをさらに発展させ,設計変数の平均と標準偏差を用いて探索領域を適宜変更させる領域適応型Particle Swarm Optimizationを提案する.本論文で提案する方法の有効性を数値計算例を通じて検討する.<br />出版者照会後に全文公開
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酒井, 忍 ; 北山, 哲士 ; 野辺, 亮太 ; 水口, さゆり
概要:
Shuttlecock used in badminton match is light in mass, which is strongly influenced by air resistance. The highest launch
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ing velocity of the shuttlecock exceeds 300km/hr for professional badminton players. In this study, the improving performance of the badminton machine with the two rollers developed by the author is examined. Finite element models of a feather shuttlecock and the badminton machine with two rollers are made, and the projection simulations proceed with the moving behavior and contact stress of the shuttlecock. The coefficient of friction is examined from the surfaces in contact with the shuttlecock and the roller in the analysis. From the results of analysis, it is found that the roller with a large diameter attains the higher speed of the shuttlecock than the small rollers for every project. The taper angles of the roller edge and the insert height of the shuttlecock relative to the roller surface are optimized for attaining the maximum shuttle speed by the projection simulation and the response surface approach. In the results of the optimization, the performance of the machine has been improved as the shuttle speeds increased by about 7% and the stress causing the shuttle deterioration decreased. Additionally, the validity of the optimum condition has been confirmed by the corresponding shot experiments using the two-roller type badminton machine. © 2011 The Japan Society of Mechanical Engineers.
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小貫, 涼介 ; 北山, 哲士 ; 山崎, 光悦 ; 荒川, 雅生
概要:
This paper proposes a new method called Adaptive Range Differential Evolution (ARDE). The basic idea can be obtained fro
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m the Adaptive Range Particle Swarm Optimization (ARPSO). In the ARDE, the active search domain range consists of the mean and the standard deviation of each design variable. Also the best position is included in this search range. Therefore, the active search domain range is newly defined by utilizing the mean and the standard deviation of each design variable, and the best position. The detailed procedure of the new active search domain range is described in this paper. To keep the best position for the new active search domain range will lead to the wide search range. Of course, the newly active search domain range will shrink through the search iteration. As the result, a highly accurate global minimum can be found. The effectiveness and validity of the ARDE are examined through typical benchmark problems. It could be found through benchmark problems that the ARDE can find a global minimum with the small number of function evaluations in comparison with basic Differential Evolution. ©2013 The Japan Society of Mechanical Engineers.
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北山, 哲士 ; 山崎, 光悦
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金沢大学工学部
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北山, 哲士 ; 山川, 宏
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金沢大学工学部
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北山, 哲士 ; 山川, 宏
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金沢大学工学部
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北山, 哲士 ; 荒川, 雅生 ; 山崎, 光悦
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金沢大学工学部
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北山, 哲士 ; 山崎, 光悦
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金沢大学工学部
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北山, 哲士 ; 荒川, 雅生 ; 山崎, 光悦
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金沢大学工学部
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