Chemical laser modeling with genetic algorithms

AIAA Journal ◽  
1996 ◽  
Vol 34 (2) ◽  
pp. 338-346 ◽  
Author(s):  
David L. Carroll
Keyword(s):  
Genetic Algorithms ◽  
Chemical Laser ◽  
Laser Modeling

Transfer chemical laser: modeling of a cw DF–CO_2 laser

1976 ◽  
Vol 15 (5) ◽  
pp. 1164 ◽  
Author(s):  
S. W. Zelazny ◽  
J. A. Blauer ◽  
L. Wood ◽  
L. H. Sentman ◽  
W. C. Solomon
Keyword(s):  
Chemical Laser ◽  
Laser Modeling

AN APPROACH TO VISIBLE CHEMICAL LASER DEVELOPMENT USING FAST NEAR RESONANT ENERGY TRANSFER

1991 ◽  
Vol 01 (C7) ◽  
pp. C7-609-C7-614 ◽  
Author(s):  
J. L. GOLE ◽  
K. K. SHEN ◽  
C. B. WINSTEAD ◽  
D. GRANTIER
Keyword(s):  
Energy Transfer ◽  
Resonant Energy ◽  
Chemical Laser ◽  
Resonant Energy Transfer ◽  
Laser Development

Genetic Algorithms—a Tool for OR?

1996 ◽  
Vol 47 (4) ◽  
pp. 550-561 ◽  
Author(s):  
Kathryn A Dowsland
Keyword(s):  
Genetic Algorithms

Enhanced Artificial Intelligent Method for Representing the Photonic Crystal Fiber Profile Index

2018 ◽  
Vol 1 (1) ◽  
pp. 2-19
Author(s):  
Mahmood Sh. Majeed ◽  
Raid W. Daoud
Keyword(s):  
Genetic Algorithms ◽  
Photonic Crystal ◽  
Photonic Crystal Fiber ◽  
New Method ◽  
Proper Solution ◽  
Artificial Intelligent ◽  
Crystal Fiber ◽  
Fitness Value ◽  
First Pass ◽  
Crossover And Mutation

A new method proposed in this paper to compute the fitness in Genetic Algorithms (GAs). In this new method the number of regions, which assigned for the population, divides the time. The fitness computation here differ from the previous methods, by compute it for each portion of the population as first pass, then the second pass begin to compute the fitness for population that lye in the portion which have bigger fitness value. The crossover and mutation and other GAs operator will do its work only for biggest fitness portion of the population. In this method, we can get a suitable and accurate group of proper solution for indexed profile of the photonic crystal fiber (PCF).

Optimizing Time-multiplexing Raster Cellular Neural Network simulator using genetic algorithms with RK8(6)

2011 ◽  
Vol 3 (6) ◽  
pp. 87-90
Author(s):  
O. H. Abdelwahed O. H. Abdelwahed ◽  
◽  
M. El-Sayed Wahed ◽  
O. Mohamed Eldaken
Keyword(s):  
Neural Network ◽  
Genetic Algorithms ◽  
Cellular Neural Network ◽  
Network Simulator

Optimization of Linear Equations using Genetic Algorithms

2011 ◽  
Vol 2 (3) ◽  
pp. 56-58
Author(s):  
Roshni .V Patel ◽  
◽  
Jignesh. S Patel
Keyword(s):  
Genetic Algorithms ◽  
Linear Equations
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