A New Efficient Entropy Population-Merging Parallel Model for Evolutionary Algorithms
In this paper a coarse-grain execution model for evolutionary algorithms is proposed and used for solving numerical and combinatorial optimization problems. This model does not use migration as the solution dispersion mechanism, in its place a more efficient population-merging mechanism is used that...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Atlantis Press
2017-01-01
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| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://www.atlantis-press.com/article/25883372/view |