STEMM Institute Press
Science, Technology, Engineering, Management and Medicine
Research on the Complexity Boundary of Adaptive Algorithms in Dynamic Environments
DOI: https://doi.org/10.62517/jbdc.202501424
Author(s)
Yixuan Hu
Affiliation(s)
One Direction Academy, 220 Lesmill Road, Toronto, Canada
Abstract
This paper focuses on the research of the complexity boundary of adaptive algorithms in dynamic environments. Firstly, the characteristics of the dynamic environment and the challenges it poses to the algorithm are expounded, emphasizing the significance of studying the complexity boundary of adaptive algorithms. Then, various factors influencing the complexity boundary of adaptive algorithms were analyzed, including environmental dynamics and the characteristics of the algorithms themselves. Subsequently, the theoretical methods and ideas for determining the complexity boundary of adaptive algorithms, as well as the difficulties and challenges currently faced by the research, were discussed. Finally, the future research directions are prospected, aiming to provide theoretical references for further in-depth exploration of the complexity boundaries of adaptive algorithms in dynamic environments.
Keywords
Dynamic Environment; Adaptive Algorithm; Complexity Boundary
References
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