A Hybrid Meta-Heuristic Approach for Emergency Logistics Distribution Under Uncertain Demand

A Hybrid Meta-Heuristic Approach for Emergency Logistics Distribution Under Uncertain Demand

This paper addresses the critical challenge of effective resource allocation in emergency logistics distribution, particularly during disaster scenarios where demand is uncertain and traditional deterministic optimization methods are inadequate. We propose a novel multi-objective chance-constrained...

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Bibliographic Details
Main Authors: Jian Wu, Xiao-Yang Wang, Ai-Qing Tian, Zhi-Gang Du, Zong-Juan Yang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Emergency logistics
demand uncertainty
multi-objective optimization
meta-heuristic algorithms
EDA-MOSGA
Online Access:https://ieeexplore.ieee.org/document/10683738/

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