Optimum design method for four-bar function generator using AIS and genetic algorithms

2013 ◽  
Author(s):  
Morteza Saeidi Javash ◽  
Mir Mohammad Ettefagh ◽  
Yousof Ebneddin Hamidi
Author(s):  
Hiroshi Yamakawa ◽  
Masao Arakawa ◽  
Nobuyuki Katsuyama

Abstract A new concept on the heredity and evolution of designs was proposed and an optimum design method based on the concept was developed newly by one of the authors. Several kinds of needs for designs may exist and users of some products are not satisfied with the functions of the products but also with their sensuous beauties or impressions of shapes and materials. To consider such sensous quality of the products was called “Kansei designs” in Japan and have become of interest and important lately (Nagamachi, 1989). In this study we introduce the same concept on heredity and evolution of designs as in the previous reports shown in Fig.1 (Yamakawa, 1994) and present a general design method to consider the Kansei design into ordinary, design process by making use of both SD (Semantic Differential) and the Genetic Algorithms. In order to support designer’s impressions, we also consider to take for other features Kansei estimation, which is similar to the original feature and easier to take “Kansei”, into account and developed an interface system which can show the transition of feature during GA process. Front view designs of a car are taken as simple numerical examples and the effectiveness of the proposed method is examined.


Author(s):  
Hiroshi Yamakawa

Abstract Multidisciplinary optimum designs have been of strong interest lately in many fields. A unified multidisciplinary optimum design method by utilizing the genetic algorithms is presented in this study. The design process is modeled there by a distributed hierarchical system to simulate ordinary design processes. Each level is optimized by genetic algorithms somewhat independently but some information is transmitted to the upper or the lower level. Engineering analysis can also be involved in a certain level. The proposed method is then applied to simple examples of preliminary designs of cars and numerical results show the effectiveness of the method.


2004 ◽  
Vol 10 (4) ◽  
pp. 301-307 ◽  
Author(s):  
Hamit Saruhan ◽  
Keith E. Rouch ◽  
Carlo A. Roso

This article focuses on the use of genetic algorithms in developing an efficient optimum design method for tilting pad bearings. The approach optimizes based on minimum film thickness, power loss, maximum film temperature, and a global objective. Results for a five tilting-pad preloaded bearing are presented to provide a comparison with more traditional optimum design methods such as the gradient-based global criterion method, and also to provide insight into the potential of genetic algorithms in the design of rotor bearings. Genetic algorithms are efficient search techniques based on the idea of natural selection and genetics. These robust methods have gained recognition as general problem solving techniques in many applications.


1996 ◽  
Vol 32 (3) ◽  
pp. 1246-1249 ◽  
Author(s):  
Hong-Bae Lee ◽  
Seung-Woo Lee ◽  
Hyun-Kyo Jung ◽  
Song-Yop Hahn ◽  
Changyul Cheon ◽  
...  

1997 ◽  
Vol 63 (616) ◽  
pp. 4201-4208
Author(s):  
Shiro ARII ◽  
Takuzo IWATSUBO ◽  
S. Haydar ICLI ◽  
Hiroshi MIZUMOTO
Keyword(s):  

1991 ◽  
Author(s):  
Kazuto Seto ◽  
Katsumi Sawatari ◽  
Akio Nagamatsu ◽  
Masao Ishihama ◽  
Kazuhiro Doi

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