Due to the numerous requests, the submission deadline for EvoStar 2025 has
been extended to the* 15th of November 2024 Anywhere on Earth!*
This special session explores how two major areas of artificial
intelligence, such as evolutionary computation and machine learning, can
improve natural disaster preparedness, response, and recovery and the
efficiency of humanitarian logistics.
Topics of Interest:
- Optimization of resource allocation in emergencies
- Prediction of natural disasters using deep learning and machine
learning
- Evacuation planning and shelter management
- Allocation and management of limited resources
- Early response and damage mitigation warning systems
- Prediction of climate change impact and frequency of extreme weather
events
- Disaster simulation and modeling systems using AI
- Optimization of air transport and drones in emergency situations
- Disease prediction and management models in emergency situations using
machine learning
- Structural damage estimation and prediction in buildings after natural
disasters
- Optimization of emergency communication networks
- Implementation of algorithms for coordinating rescue team
More Information: https://www.evostar.org/2025/evoapps/ecml-hldf/
**** Submission Details ****
Page limit: 14 pages, Springer LNCS format.
Submission link and details: https://www.evostar.org/2025/submit-paper/
**** Important Dates ****
Submission deadline: November 15, 2024 (AoE)
EvoStar: April 23-25, 2025
Trieste, Italy
Held as part of EvoStar https://www.evostar.org/2025/
****Organisers****
Mario A. Navarro
Universidad de Guadalajara, Mexico
mario.navarro@academicos.udg.mx
Diego Oliva
Universidad de Guadalajara, Mexico
diego.oliva@cucei.udg.mx
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