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A learning-driven artificial bee colony algorithm for mobile robot multi-objective path planning
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DOI：10.1016/j.asoc.2026.114692.png)
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• A competition-based initialization strategy is investigated. • A differential evolution strategy is developed to enhance LBABC’s global ability. • A Q-learning-based evolutionary operator selection strategy is proposed. • An adaptive evolutionary restart strategy is designed to keep population activity.
期刊
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6.6
论文数:
1.4W
被引数:
4.8W
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引用论文
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