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An Improved Genetic Algorithm for Path-Planning of Unmanned Surface Vehicle
The genetic algorithm (GA) is an effective method to solve the path-planning problem and help realize the autonomous navigation for and control of unmanned surface vehicles. In order to overcome the inherent shortcomings of conventional GA such as population premature and slow convergence speed, thi...
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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6603549/ https://ncbi.nlm.nih.gov/pubmed/31212651 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19112640 |
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