Bio-Inspired Genetic Algorithms with Formalized Crossover Operators for Robotic Applications
Genetic algorithms are widely adopted to solve optimization problems in robotic applications. In such safety-critical systems, it is vitally important to formally prove the correctness when genetic algorithms are applied. This paper focuses on formal modeling of crossover operations that are one of...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2017-10-01
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| Series: | Frontiers in Neurorobotics |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/article/10.3389/fnbot.2017.00056/full |