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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...
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| Publicado en: | Front Neurorobot |
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| Autores principales: | , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Frontiers Media S.A.
2017
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5660715/ https://ncbi.nlm.nih.gov/pubmed/29114217 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnbot.2017.00056 |
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