English(EN) MAAPO:an innovative membrane algorithm based on artificial protozoa optimizer for multilevel threshold image segmentation

新型MAAPO算法通过受生物启发的优化增强图像分割

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-11 12:08

研究人员开发了一种名为MAAPO的新型膜算法，该算法将人工原生质体优化器（APO）与膜计算框架相结合。该方法旨在增强复杂优化问题的种群多样性和搜索动态。增强的APO模型利用基于轮盘的适应度-距离平衡机制进行自适应参考点选择，从而改善了算法的探索-利用平衡。MAAPO在CEC2017测试套件上已证明其性能优于其他12种算法，并已成功应用于多阈值图像分割，在分割质量上优于现有方法。 AI

影响为复杂的图像分割任务引入了一种新颖的方法，有望提高计算机视觉应用的性能。

排序理由该集群包含一篇详细介绍新型图像分割算法的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.NE (Neural & Evolutionary) 阅读 →

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arXiv cs.NE (Neural & Evolutionary) TIER_1 English(EN) · Jeng-Shyang Pan · 2026-09-11 12:08

MAAPO：一种基于人工原生质优化器用于多阈值图像分割的创新膜算法

This paper proposes a novel membrane algorithm based on artificial protozoa optimizer (MAAPO) for global optimization problems. The artificial protozoa optimizer (APO) is adopted as the base meta-heuristic algorithm due to its novelty and competitive performance. MAAPO integrates…

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MAAPO：一种基于人工原生质优化器用于多阈值图像分割的创新膜算法

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