Adapting to climate change: the role of metaheuristic algorithms in optimal decision making

Khaled Obaideen; Mohammad AlShabi; Talal Bonny

doi:10.1117/12.3015940

7 June 2024 Adapting to climate change: the role of metaheuristic algorithms in optimal decision making

Khaled Obaideen, Mohammad AlShabi, Talal Bonny

Proceedings Volume 13040, Pattern Recognition and Prediction XXXV; 130400M (2024) https://doi.org/10.1117/12.3015940
Event: SPIE Defense + Commercial Sensing, 2024, National Harbor, Maryland, United States

Conference Poster

Abstract

This study investigates the use of metaheuristic algorithms for adaptation to climate change and decision making, presenting literature from 1997 to 2023. Our investigation of the matter shows that metaheuristic algorithms are central in trying to deal with climate change complexity as it has a high annual growth rate and wide interdisciplinary effort. These algorithms, specifically genetic algorithms and particle swarm optimization have been applied in several areas including energy efficiency and sustainable development. This shows their flexibility to different response thus the use of these approaches may help form resilient adaptation methods. In its turn, the research gives substantial information on strategic development using metaheuristic algorithms, yet, it has some limitations such as probable coverage gaps and geographical focus of efforts. The empirical validation in real-world settings should be the future research that will investigate their application to underrepresented areas therefore, promoting interdisciplinary collaborations in accordance with global adaptation needs. In conclusion, the study reveals the great potential of metaheuristic algorithms in fostering climate change adaptation and calls for further research to enhance inclusive, effective and sustainable methods.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Khaled Obaideen, Mohammad AlShabi, and Talal Bonny "Adapting to climate change: the role of metaheuristic algorithms in optimal decision making", Proc. SPIE 13040, Pattern Recognition and Prediction XXXV, 130400M (7 June 2024); https://doi.org/10.1117/12.3015940

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