Path length variation diagram of each algorithm.

<div><p>To address the challenge of personnel evacuation during mine fires, an enhanced Whale Optimization Algorithm (WOA) incorporating a hybrid strategy inspired by the intelligent behavior of marine life is proposed and applied to mine escape route planning. Initially, to overcome the...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Yun Qi (560401) (author)
مؤلفون آخرون:	Kaiwang Yu (21439708) (author), Xunping Li (21439711) (author), Wei Wang (5061275) (author), Xinchao Cui (21439714) (author), Chenhao Bai (21439717) (author)
منشور في:	2025
الموضوعات:	Molecular Biology Evolutionary Biology Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified poor optimization accuracy five improvement strategies strategy improved woas smoothest path among path planning simulations path planning experiments hybrid strategy inspired average path length iteration frequency graph mswoa algorithm generates path graph mswoa algorithm strategy woa shortest path xlink "> varying factors tested methods stochastic learning sobol sequence robust solution results demonstrate population initialization personnel evacuation nonlinear time mine fires marine life local optima intelligent behavior findings indicate convergence speed cauchy mutation adaptive weighting
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Path length variation diagram of each algorithm.

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