A GPU-Enabled Compact Genetic Algorithm for Very Large-Scale Optimization Problems

A GPU-Enabled Compact Genetic Algorithm for Very Large-Scale Optimization Problems

The ever-increasing complexity of industrial and engineering problems poses nowadays a number of optimization problems characterized by thousands, if not millions, of variables. For instance, very large-scale problems can be found in chemical and material engineering, networked systems, logistics an...

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Bibliographic Details
Main Authors: Andrea Ferigo, Giovanni Iacca
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Mathematics
Subjects:
compact optimization
discrete optimization
large-scale optimization
one billion variables
evolutionary algorithms
estimation distribution algorithms
Online Access:https://www.mdpi.com/2227-7390/8/5/758

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https://www.mdpi.com/2227-7390/8/5/758

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