A learning-driven artificial bee colony algorithm for mobile robot multi-objective path planning

Fan Ye

doi:10.1016/j.asoc.2026.114692

A learning-driven artificial bee colony algorithm for mobile robot multi-objective path planning

2026-01-26

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DOI：10.1016/j.asoc.2026.114692

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Abstract

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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.

A learning-driven artificial bee colony algorithm for mobile robot multi-objective path planning

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