A Reconfigurable Custom Machine for Accelerating Cellular Genetic Algorithms
In this work we present a reconfigurable and scalable custom processor array for solving optimization problems using cellular genetic algorithms (cGAs), based on a regular fabric of processing nodes and local memories. Cellular genetic algorithms are a variant of the well-known genetic algorithm tha...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidade do Porto
2016-07-01
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| Series: | U.Porto Journal of Engineering |
| Subjects: | |
| Online Access: | https://journalengineering.fe.up.pt/article/view/64 |