Modelling the Best Path Selection for Distributing Emergency Supplies in Earthquake Situations Using Ant Colony Optimisation Techniques

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Authors

Publication Details

Journal
International Journal of Dynamical Systems and Differential Equations
Published
2025-01-01
DOI
https://doi.org/10.1504/ijdsde.2025.10071358
Primary Topic
Multi-Agent Systems and Negotiation
Type
article
Field-Weighted Citation Impact
0.00
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article

Modelling the Best Path Selection for Distributing Emergency Supplies in Earthquake Situations Using Ant Colony Optimisation Techniques

Wenling Yu
International Journal of Dynamical Systems and Differential Equations
Multi-Agent Systems and Negotiation
article

Modelling the Best Path Selection for Distributing Emergency Supplies in Earthquake Situations Using Ant Colony Optimisation Techniques

Wenling Yu
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Dynamical Systems and Differential EquationsVol. 14(2)
Climate action
Openalex Percentile: Top 95%
Multi-Agent Systems and Negotiation
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Modelling the Best Path Selection for Distributing Emergency Supplies in Earthquake Situations Using Ant Colony Optimisation Techniques — Wenling Yu · International Journal of Dynamical Systems and Differential Equations (2025) | TGRS Research Map | TGRS