Application of genetic algorithms to the construction of exact D-optimal designs

1998 ◽  
Vol 25 (6) ◽  
pp. 817-826 ◽  
Author(s):  
Grace Montepiedra
Keyword(s):  
Genetic Algorithms ◽  
Optimal Designs

Determining the best practice – Optimal designs of composite helical structures using Genetic Algorithms

2021 ◽  
Vol 268 ◽  
pp. 113982
Author(s):  
Jiang-Bo Bai ◽  
Tian-Wei Liu ◽  
Zhen-Zhou Wang ◽  
Qiu-Hong Lin ◽  
Qiang Cong ◽  
...  
Keyword(s):  
Genetic Algorithms ◽  
Best Practice ◽  
Optimal Designs ◽  
Helical Structures

Genetic Algorithms for the Construction of D-Optimal Designs

2003 ◽  
Vol 35 (1) ◽  
pp. 28-46 ◽  
Author(s):  
Alejandro Heredia-Langner ◽  
W. M. Carlyle ◽  
D. C. Montgomery ◽  
C. M. Borror ◽  
G. C. Runger
Keyword(s):  
Genetic Algorithms ◽  
Optimal Designs

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).

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