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Artificial protozoa optimizer: A bio-inspired metaheuristic for complex engineering optimization

delete2025-08-21
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Mohammad Shehab
DOI：10.1016/j.rineng.2025.106883delete
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摘要

摘要

En 中文
• 受原生动物运动和生存机制启发的新型优化器。 • 结合了定向搜索、局部精化和从历史步骤学习的方法。 • 在大多数标准优化测试问题中取得最佳结果。 • 在具有挑战性的全局搜索任务中表现位居前三。 • 以高精度和可靠性解决实际工程设计问题。
Keyword:
Artificial protozoa optimizer
Bio-inspired metaheuristics
High-dimensional optimization
Engineering design problems
CEC benchmark functions
AI总结

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对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Results in Engineering 封面图
Results in Engineering
IF:
7.9
论文数:
1.2W
被引数:
1.7W

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