A new approach to nuclear reactor design optimization using genetic algorithms and regression analysis

2015 ◽  
Vol 85 ◽  
pp. 27-35 ◽  
Author(s):  
Akansha Kumar ◽  
Pavel V. Tsvetkov
Keyword(s):  
Genetic Algorithms ◽  
Regression Analysis ◽  
Design Optimization ◽  
Nuclear Reactor ◽  
Reactor Design ◽  
New Approach

Small-Scale Design Optimization Using an Interactive Minicomputer

1980 ◽  
Vol 102 (3) ◽  
pp. 524-528
Author(s):  
J. Ellis
Keyword(s):  
Design Optimization ◽  
Optimum Design ◽  
Search Strategy ◽  
Nuclear Reactor ◽  
Direct Search ◽  
Small Scale ◽  
New Approach ◽  
Spherical Core ◽  
Scale Design

This paper offers a new approach to small-scale design optimization which combines the philosophy of R. C. Johnson’s Method of Optimum Design with the use of a relatively simple and concise direct search strategy implemented on a minicomputer. The procedure is illustrated through the solution of a previously published problem involving the maximization of the reflector saving in the design of a reflected spherical core nuclear reactor.

New approach to constrained shape optimization using genetic algorithms

AIAA Journal ◽  
1998 ◽  
Vol 36 ◽  
pp. 51-61 ◽  
Author(s):  
M. C. Sharatchandra ◽  
Mihir Sen ◽  
Mohamed Gad-el-Hak
Keyword(s):  
Genetic Algorithms ◽  
Shape Optimization ◽  
New Approach

scholarly journals When Darwin Met Einstein: Gravitational Lens Inversion with Genetic Algorithms

2005 ◽  
Vol 22 (2) ◽  
pp. 128-135 ◽  
Author(s):  
Brendon J. Brewer ◽  
Geraint F. Lewis
Keyword(s):  
Genetic Algorithms ◽  
Gravitational Lensing ◽  
Surface Brightness ◽  
Initial Study ◽  
Brightness Distribution ◽  
Gravitational Lens ◽  
Atmospheric Effects ◽  
Lens Model ◽  
New Approach ◽  
Genetic Algorithm Approach

AbstractGravitational lensing can magnify a distant source, revealing structural detail which is normally unresolvable. Recovering this detail through an inversion of the influence of gravitational lensing, however, requires optimisation of not only lens parameters, but also of the surface brightness distribution of the source. This paper outlines a new approach to this inversion, utilising genetic algorithms to reconstruct the source profile. In this initial study, the effects of image degradation due to instrumental and atmospheric effects are neglected and it is assumed that the lens model is accurately known, but the genetic algorithm approach can be incorporated into more general optimisation techniques, allowing the optimisation of both the parameters for a lensing model and the surface brightness of the source.

scholarly journals Stadium Norm and Douglas-Rachford Splitting: A New Approach to Road Design Optimization

2016 ◽  
Vol 64 (1) ◽  
pp. 201-218 ◽  
Author(s):  
Heinz H. Bauschke ◽  
Valentin R. Koch ◽  
Hung M. Phan
Keyword(s):  
Design Optimization ◽  
New Approach ◽  
Road Design
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