Evolutionary Programming Improved by an Individual Random Difference Mutation

2010 ◽  
pp. 338-343
Author(s):  
Zhaoquan Cai ◽  
Han Huang ◽  
Zhifeng Hao ◽  
Xueqiang Li
Keyword(s):  
Evolutionary Programming ◽  
Random Difference

scholarly journals Optimal Allocation and Sizing of Multi DG Units Including Different Load Model Using Evolutionary Programming

2021 ◽  
Vol 1878 (1) ◽  
pp. 012036
Author(s):  
M. F. Mohammed ◽  
S R A Rahim ◽  
A. Azmi ◽  
W. Z. Wan Zanudin ◽  
M H Hussain ◽  
...  
Keyword(s):  
Optimal Allocation ◽  
Evolutionary Programming ◽  
Load Model

scholarly journals On a Theorem of Breiman and a Class of Random Difference Equations

2007 ◽  
Vol 44 (04) ◽  
pp. 1031-1046 ◽  
Author(s):  
Denis Denisov ◽  
Bert Zwart
Keyword(s):  
Difference Equations ◽  
Random Variables ◽  
Tail Behavior ◽  
Random Difference ◽  
Regularly Varying ◽  
Random Difference Equations

We consider the tail behavior of the product of two independent nonnegative random variables X and Y. Breiman (1965) has considered this problem, assuming that X is regularly varying with index α and that E{Yα+ε} < ∞ for some ε > 0. We investigate when the condition on Y can be weakened and apply our findings to analyze a class of random difference equations.

Inflammation underlying cardiovascular mortality is a late consequence of evolutionary programming

2004 ◽  
Vol 18 (9) ◽  
pp. 1022-1024 ◽  
Author(s):  
Anita H. J. Biggelaar ◽  
Anton J. M. Craen ◽  
Jacobijn Gussekloo ◽  
Tom W. J. Huizinga ◽  
Bastiaan T. Heijmans ◽  
...  
Keyword(s):  
Cardiovascular Mortality ◽  
Evolutionary Programming
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