Evolutionary Arbiter Based on Adaptive Weight Evolution Mechanism

DOI

10.2991/978-94-6463-821-9_50How to use a DOI?

Keywords

Evolutionary Arbiter; Adaptive Weights; Evolutionary Algorithms; Multilateral Bus; SoC; Resource Scheduling

Abstract

Traditional static arbiters cannot cope with scenarios with large fluctuations in resource demand, especially in multilateral bus systems and network switching. In recent years, evolutionary arbiter (EVOA) based on evolutionary algorithms provides a flexible and efficient resource scheduling mechanism in scenarios with dynamic loads and changing resource demands due to its flexible adaptive weight adjustment mechanism. This paper reviews recent research on evolutionary arbiters, focusing on the application of the adaptive weight evolution mechanism in optimizing task prioritization and resource allocation. The results show that the evolutionary arbiter can effectively cope with dynamic load changes, improve resource utilization and ensure system fairness. The evolutionary arbiter demonstrates higher bandwidth utilization and system throughput compared to the traditional static arbiter in multilateral bus systems and data centre environments. In addition, in network switching, evolutionary arbiters can effectively avoid resource contention and improve the efficiency and fairness of the network. Although evolutionary arbiters excel in performance optimization, their computational complexity and hardware implementation still face challenges. Future research will focus on algorithm optimization, computational efficiency improvement and hardware implementation to further enhance the application scope and practicality of evolutionary arbiters.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Jianhao Huang
PY  - 2025
DA  - 2025/08/31
TI  - Evolutionary Arbiter Based on Adaptive Weight Evolution Mechanism
BT  - Proceedings of the 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025)
PB  - Atlantis Press
SP  - 490
EP  - 501
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-821-9_50
DO  - 10.2991/978-94-6463-821-9_50
ID  - Huang2025
ER  -