Evolutionary Statistical System Based on Novelty Search: A Parallel Metaheuristic for Uncertainty Reduction Applied to Wildfire Spread Prediction
The problem of wildfire spread prediction presents a high degree of complexity due in large part to the limitations for providing accurate input parameters in real time (e.g., wind speed, temperature, moisture of the soil, etc.). This uncertainty in the environmental values has led to the developmen...
Main Authors: | Jan Strappa, Paola Caymes-Scutari, Germán Bianchini |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-12-01
|
Series: | Algorithms |
Subjects: | |
Online Access: | https://www.mdpi.com/1999-4893/15/12/478 |
Similar Items
-
Ecological origins of object salience: reward, uncertainty, aversiveness and novelty
by: Ali Ghazizadeh, et al.
Published: (2016-08-01) -
Editorial: Application in evolutionary novelties and diversities: Medicine, agriculture, and conservation
by: Jianhai Chen, et al.
Published: (2023-01-01) -
A Review of Genetic Algorithm Approaches for Wildfire Spread Prediction Calibration
by: Jorge Pereira, et al.
Published: (2022-01-01) -
Review of the Evaluation of Scientific and Technical Novelty Search Service in China
by: XIA Dong, XU Yingqi, WANG Chao, LI Bei
Published: (2021-11-01) -
Efficient novelty search through deep reinforcement learning
by: Shi, Longxiang, et al.
Published: (2021)