A performance study of a genetic algorithm based mapper design for uncoded space‐time labeling diversity

Author(s):  
Shaheen Solwa
1997 ◽  
Author(s):  
W. Hargus, Jr. ◽  
R. Cedolin ◽  
N. Meezan ◽  
M. Cappelli ◽  
W. Hargus, Jr. ◽  
...  

2007 ◽  
Vol 8 (1) ◽  
pp. 45-57 ◽  
Author(s):  
Luis Villaseñor-González ◽  
◽  
Canek Portillo-Jiménez ◽  
Jaime Sánchez-García ◽  
◽  
...  

2006 ◽  
Vol 42 (2) ◽  
pp. 93-96 ◽  
Author(s):  
T. Kagami ◽  
T. Kuwashima ◽  
S. Miura ◽  
T. Uesugi ◽  
K. Barada ◽  
...  

2012 ◽  
Vol 622-623 ◽  
pp. 64-68 ◽  
Author(s):  
S. Padmanabhan ◽  
M. Chandrasekaran ◽  
P. Asokan ◽  
V. Srinivasa Raman

he major problem that deals with practical engineers is the mechanical design and creativeness. Mechanical design can be defined as the choice of materials and geometry, which satisfies, specified functional requirements of that design. A good design has to minimize the most significant adverse result and to maximize the most significant desirable result. An evolutionary algorithm offers efficient ways of creating and comparing a new design solution in order to complete an optimal design. In this paper a type of Genetic Algorithm, Real Coded Genetic Algorithm (RCGA) is used to optimize the design of helical gear pair and a combined objective function with maximizes the Power, Efficiency and minimizes the overall Weight, Centre distance. The performance of the proposed algorithms is validated through LINGO Software and the comparative results are analyzed.


2002 ◽  
Vol 25 (18) ◽  
pp. 1782-1798 ◽  
Author(s):  
Laurent Mathy ◽  
David Hutchison ◽  
Stefan Schmid ◽  
Steven Simpson

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