Immune-Inspired Multi-Objective PSO Algorithm for Optimizing Underground Logistics Network Layout with Uncertainties: Beijing Case Study

With the rapid acceleration of global urbanization and the advent of smart city initiatives, large metropolises confront the dual challenges of surging logistics demand and constrained surface transportation resources. Traditional surface logistics networks struggle to support sustainable urban deve...

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Bibliographic Details
Published in:	Sustainability Vol. 17; no. 10; p. 4734
Main Authors:	Yu, Hongbin, Shi, An, Liu, Qing, Liu, Jianhua, Hu, Huiyang, Chen, Zhilong
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.05.2025
Subjects:	Algorithms Automation Case studies Construction costs Economic aspects Efficiency Engineering Environmental aspects Integer programming Linear programming Logistics Mathematical optimization Network management systems Network topologies Optimization algorithms Optimization techniques Smart cities Subways Urban development China Beijing China
ISSN:	2071-1050, 2071-1050
Online Access:	Get full text
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