Process Scheduling of Precast Production using Genetic Algorithms

2009 ◽  
Author(s):  
W.T. Chan ◽  
H. Hu
Keyword(s):  
Genetic Algorithms ◽  
Process Scheduling

Genetic Algorithms for Tire Mixing Process Scheduling

2013 ◽  
Vol 18 (2) ◽  
pp. 129-137 ◽  
Author(s):  
Euikoog Ahn ◽  
Sang Chul Park
Keyword(s):  
Genetic Algorithms ◽  
Mixing Process ◽  
Process Scheduling

scholarly journals A LOGISTIC PROCESS SCHEDULING PROBLEM: GENETIC ALGORITHMS OR ANT COLONY OPTIMIZATION?

2005 ◽  
Vol 38 (1) ◽  
pp. 206-211 ◽  
Author(s):  
C.A. Silva ◽  
J.M. Sousa ◽  
T. Runkler ◽  
J.M.G. Sá da Costa
Keyword(s):  
Genetic Algorithms ◽  
Ant Colony Optimization ◽  
Ant Colony ◽  
Scheduling Problem ◽  
Process Scheduling

Exploring use of multiobjective genetic algorithms for constrained process scheduling

1999 ◽  
Vol 32 (2) ◽  
pp. 4046-4051
Author(s):  
K.J. Shaw ◽  
A.L. Nortcliffe ◽  
M. Thompson ◽  
J. Love ◽  
P.J. Fleming
Keyword(s):  
Genetic Algorithms ◽  
Process Scheduling ◽  
Multiobjective Genetic Algorithms

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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