A Monte Carlo simulation based chaotic differential evolution algorithm for scheduling a stochastic parallel processor system

2015 ◽  
Vol 42 (20) ◽  
pp. 7132-7147 ◽  
Author(s):  
Hadi Mokhtari ◽  
Ali Salmasnia
2007 ◽  
Vol 364-366 ◽  
pp. 138-142
Author(s):  
Bo Yang ◽  
Guo Fan Jin ◽  
Yong Tian Wang

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.


2009 ◽  
Vol 29 (4) ◽  
pp. 1046-1047
Author(s):  
Song-shun ZHANG ◽  
Chao-feng LI ◽  
Xiao-jun WU ◽  
Cui-fang GAO

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