Machine learningSwarm Intelligence
矮獴优化算法
矮獴优化（DMO）算法是一种受自然启发的元启发式算法，由 Agushaka 等人于 2022 年提出，其灵感来源于矮獴群体的行为模式。矮獴表现出复杂的群体动态，包括哨兵行为（侦察与探索）、幼崽照料（指导）和合作狩猎。该算法将这些社会行为转化为优化机制，有效平衡了探索与利用。
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来源
- Agushaka, J. O., Ezugwu, A. E., & Abualigah, L. (2022). Dwarf mongoose optimization algorithm. Computer Methods in Applied Mechanics and Engineering, 391, 114570. DOI: 10.1016/j.cma.2022.114570 ↗
如何引用本页
ScholarGate. (2026, June 3). Dwarf Mongoose Optimization. ScholarGate. https://scholargate.app/zh/optimization/dwarf-mongoose-optimization
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