Coupling agent-based simulation and spatial optimization models to understand spatially complex and co-evolutionary behavior of cocaine trafficking networks and counterdrug interdiction-Reference-Cited by-同舟云学术

Coupling agent-based simulation and spatial optimization models to understand spatially complex and co-evolutionary behavior of cocaine trafficking networks and counterdrug interdiction

Published:2022-10-28 Issue: Volume: Page:1-14
ISSN:2472-5854
Container-title:IISE Transactions
language:en
Short-container-title:IISE Transactions

Author:

Magliocca Nicholas R.¹^ORCID,Price Ashleigh N.¹,Mitchell Penelope C.¹,Curtin Kevin M.¹,Hudnall Matthew²,McSweeney Kendra³

Affiliation:

1. Department of Geography, University of Alabama, Tuscaloosa, AL, USA

2. Department of Information Systems, Statistics and Management Science and Institute of Data Analytics, University of Alabama, Tuscaloosa, AL,USA

3. Department of Geography, The Ohio State University, Columbus, OH, USA

Funder

NSF

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/24725854.2022.2123998

Reference92 articles.

1. Agent-based model for optimising supply-chain configurations

2. The Maximum Flow Network Interdiction Problem: Valid inequalities, integrality gaps, and approximability

3. Challenges, tasks, and opportunities in modeling agent-based complex systems

4. Representing Complex Evolving Spatial Networks: Geographic Network Automata

5. Complex spatial networks: Theory and geospatial applications

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