Parallel Processing of Genetic Algorithms in Python Language

2019 ◽  
Author(s):  
V. Skorpil ◽  
V. Oujezsky ◽  
P. Cika ◽  
M. Tuleja
Keyword(s):  
Genetic Algorithms ◽  
Parallel Processing ◽  
Python Language

Parallel Processing, Neural Networks and Genetic Algorithms: Revisited

2009 ◽  
Author(s):  
B.H.V. Topping ◽  
J. Sziveri ◽  
A. Bahreininejad ◽  
J.B.P. Leite ◽  
B. Cheng
Keyword(s):  
Neural Networks ◽  
Genetic Algorithms ◽  
Parallel Processing

scholarly journals Python Parallel Processing and Multiprocessing: A Rivew

2021 ◽  
Vol 10 (3) ◽  
Author(s):  
Zina A. Aziz ◽  
Diler Naseradeen Abdulqader ◽  
Amira Bibo Sallow ◽  
Herman Khalid Omer
Keyword(s):  
Genetic Algorithms ◽  
Parallel Processing ◽  
Programming Languages ◽  
Parallel Programming ◽  
Computing Time ◽  
Attack Detection ◽  
Heavy Duty ◽  
The Creation ◽  
Multicore Computers

Parallel and multiprocessing algorithms break down significant numerical problems into smaller subtasks, reducing the total computing time on multiprocessor and multicore computers. Parallel programming is well supported in proven programming languages such as C and Python, which are well suited to “heavy-duty” computational tasks. Historically, Python has been regarded as a strong supporter of parallel programming due to the global interpreter lock (GIL). However, times have changed. Parallel programming in Python is supported by the creation of a diverse set of libraries and packages. This review focused on Python libraries that support parallel processing and multiprocessing, intending to accelerate computation in various fields, including multimedia, attack detection, supercomputers, and genetic algorithms. Furthermore, we discussed some Python libraries that can be used for this purpose.

scholarly journals Genetic Algorithms and Parallel Processing in Maximum-Likelihood Phylogeny Inference

2002 ◽  
Vol 19 (10) ◽  
pp. 1717-1726 ◽  
Author(s):  
Matthew J. Brauer ◽  
Mark T. Holder ◽  
Laurie A. Dries ◽  
Derrick J. Zwickl ◽  
Paul O. Lewis ◽  
...  
Keyword(s):  
Genetic Algorithms ◽  
Parallel Processing ◽  
Maximum Likelihood ◽  
Maximum Likelihood Phylogeny

Parallel processing, neural networks and genetic algorithms

1998 ◽  
Vol 29 (10) ◽  
pp. 763-786 ◽  
Author(s):  
B.H.V. Topping ◽  
J. Sziveri ◽  
A. Bahreinejad ◽  
J.P.B. Leite ◽  
B. Cheng
Keyword(s):  
Neural Networks ◽  
Genetic Algorithms ◽  
Parallel Processing
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