Flowchart of OP-ZOA algorithm.

<div><p>To address the limitations of the Zebra Optimization Algorithm (ZOA), including insufficient late-stage optimization search capability, susceptibility to local optima, slow convergence, and inadequate exploration, this paper proposes an enhanced Zebra Optimization Algorithm integ...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Tengfei Ma (597633) (author)
مؤلفون آخرون:	Guangda Lu (21661844) (author), Zhuanping Qin (21661838) (author), Tinghang Guo (21989505) (author), Zheng Li (26302) (author), Changli Zhao (7114091) (author)
منشور في:	2025
الموضوعات:	Biophysics Medicine Molecular Biology Evolutionary Biology Plasma Physics Plant Biology Computational Biology Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified plo ), red planned path length good point set cec2017 test functions bloodsucking leech algorithm artificial potential field algorithm &# 8217 291 %) compared zebra optimization algorithm enhanced optimization capability eliminates information silos div >< p applications </ p zoa &# 8217 results confirm op position update process escaping local optima based learning mechanism local optima based learning optimization algorithms state information zoa )). vigilante agent verified using slow convergence significantly improving randomly selecting pooling strategy pooling strategies paper proposes overall robustness optimal individual inadequate exploration heuristic algorithms global optimum facilitating escape experimental evaluation dynamic elite convergence speed
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Flowchart of OP-ZOA algorithm.

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