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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| 主要な著者: | , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI AG
2024-04-01
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| シリーズ: | World Electric Vehicle Journal |
| 主題: | |
| オンライン･アクセス: | https://www.mdpi.com/2032-6653/15/4/166 |
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