Solution obtained by NSGA-II (Instance #1).

<div><p>During the pandemic, the amount of infectious medical waste has increased dramatically. Currently, the medical waste recycling process generally suffers from defects such as long distances, high costs, and a lack of emergency response mechanisms. This paper addresses the problem...

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Bibliographic Details
Main Author:	Chen Hao (352436) (author)
Other Authors:	LI Libo (22319893) (author), Qin Xuerui (22319896) (author), Wang Wenxian (22319899) (author)
Published:	2025
Subjects:	Evolutionary Biology Science Policy Biological Sciences not elsewhere classified traditional genetic algorithms solve practical problems full load rate emergency response mechanisms dominated sorting mechanism constraints including uniqueness comprehensively considers factors vehicle load capacity multiple vehicle types segmented collection approach 50 %, 10 03 %, respectively infectious medical waste ii algorithm incorporating 1 disposal center medical waste collection minimize transportation costs medical waste transportation costs vehicle routing vehicle allocation high costs 94 %, 35 %, 17 %, 14 %, transportation routes transportation risk xlink "> total mileage total cost paper addresses long distances improved nsga hard nature fast non convergence time 98 %. 26 seconds
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Solution obtained by NSGA-II (Instance #1).

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