Omnidirectional AGV Path Planning Based on Improved Genetic Algorithm
To address the issues with traditional genetic algorithm (GA) path planning, which often results in redundant path nodes and local optima, we propose an Improved Genetic Algorithm that incorporates an ant colony algorithm (ACO). Firstly, a new population initialization method is proposed. This metho...
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| Главные авторы: | , , |
|---|---|
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
MDPI AG
2024-04-01
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| Серии: | World Electric Vehicle Journal |
| Предметы: | |
| Online-ссылка: | https://www.mdpi.com/2032-6653/15/4/166 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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