Direction Guided Cooperative Coevolutionary Differential Evolution Algorithm for Cognitive Modelling of Ray Tracing in Separable High Dimensional Space

2018 ◽  
pp. 172-183
Author(s):  
Jing Zhao ◽  
Jinchang Ren ◽  
Cailing Wang ◽  
Ke Li ◽  
Yifang Zhao
Keyword(s):  
Differential Evolution ◽  
Ray Tracing ◽  
Dimensional Space ◽  
Differential Evolution Algorithm ◽  
High Dimensional ◽  
Cognitive Modelling ◽  
High Dimensional Space ◽  
Evolution Algorithm

Free-Form Reflector Design Using Differential Evolution Algorithm

2007 ◽  
Vol 364-366 ◽  
pp. 138-142
Author(s):  
Bo Yang ◽  
Guo Fan Jin ◽  
Yong Tian Wang
Keyword(s):  
Monte Carlo ◽  
Differential Evolution ◽  
Ray Tracing ◽  
Differential Evolution Algorithm ◽  
Merit Function ◽  
Free Form ◽  
Design Technique ◽  
Merit Functions ◽  
Nurbs Surface ◽  
Evolution Algorithm

NURBS surface representation, combined with Differential Evolution (DE), enables us to perform automated non-imaging reflector design. The overall result is a simple automated nonimaging reflector design technique and only a little data such as desired illuminance distribution and searching limits are needed. Merit functions specific to non-imaging reflector design are presented. Using different merit functions, the generated illuminance distribution can be uniform as well as concentrated. DE is performed to obtain the reflector that generates the desired illuminance distribution. The photometric distributions are calculated through Monte-Carlo ray tracing and the illuminance value is used to calculate the merit function value. The validity of the proposed approach is demonstrated by optimization examples. Almost the same uniform illuminance distribution can be obtained using the algorithm proposed in this paper as that obtained by edge-raymethod. A concentrated illuminance distribution can also be generated using the algorithm proposed.

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