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<div><p>The escalating generation of household medical waste, a byproduct of industrialization and global population growth, has rendered its transportation and logistics management a critical societal concern. This study delves into the optimization of routes for vehicles within the hou...

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Bibliographic Details
Main Author:	Jihui Hu (19812736) (author)
Other Authors:	Ying Zhang (40767) (author), Yanqiu Liu (783420) (author), Jiaqi Hou (3932033) (author), Aobei Zhang (18146050) (author)
Published:	2024
Subjects:	Biotechnology Ecology Science Policy Space Science Biological Sciences not elsewhere classified integer programming model critical societal concern adaptive iterative process amalgamating congestion distance medical waste recycling improper waste disposal household medical waste vehicle speed function test set derived study &# 8217 offers substantial support discern optimal solutions algorithm &# 8217 traffic congestion considerations global population growth generate feasible non environmental pollution risks traffic congestion waste volume waste effectively study delves solution set pollution risk dominated solutions decay function algorithm employs nsafsa offers xlink "> wind velocity vehicles within transport duration sophisticated approach solomon dataset overall robustness objective mixed logistics management integrates cost induced elimination individual ranking holistic approach genetic diversity escalating generation empirical evaluation dominated sorting convergence properties contamination risk conducted using complexity inherent across metrics
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Time-sharing tariff.

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