Immune-Endocrine System Inspired Hierarchical Coevolutionary Multiobjective Optimization Algorithm for IoT Service
Yang Z, Ding Y, Jin Y, Hao K (2020)
IEEE Transactions on Cybernetics 50(1): 164-177.
Zeitschriftenaufsatz
| Veröffentlicht | Englisch
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Autor*in
Yang, Zhen;
Ding, Yongsheng;
Jin, YaochuUniBi
;
Hao, Kuangrong
![](https://pub.uni-bielefeld.de/images/icon_orcid.png)
Abstract / Bemerkung
The intelligent devices in Internet of Things (IoT) not only provide services but also consider how to allocate heterogeneous resources and reduce resource consumption and service time as far as possible. This issue becomes crucial in the case of large-scale IoT environments. In order for the IoT service system to respond to multiple requests simultaneously and provide Pareto optimal decisions, we propose an immune-endocrine system inspired hierarchical coevolutionary multiobjective optimization algorithm (IE-HCMOA) in this paper. In IE-HCMOA, a multiobjective immune algorithm based on global ranking with vaccine is designed to choose superior antibodies. Meanwhile, we adopt clustering in top population to make the operations more directional and purposeful and realize self-adaptive searching. And we use the human forgetting memory mechanism to design two-level memory storage for the choice problem of solutions to achieve promising performance. In order to validate the practicability and effectiveness of IE-HCMOA, we apply it to the field of agricultural IoT service. The simulation results demonstrate that the proposed algorithm can obtain the best Pareto, the strongest exploration ability, and excellent performance than nondominated neighbor immune algorithms and NSGA-II.
Erscheinungsjahr
2020
Zeitschriftentitel
IEEE Transactions on Cybernetics
Band
50
Ausgabe
1
Seite(n)
164-177
ISSN
2168-2267
eISSN
2168-2275
Page URI
https://pub.uni-bielefeld.de/record/2978411
Zitieren
Yang Z, Ding Y, Jin Y, Hao K. Immune-Endocrine System Inspired Hierarchical Coevolutionary Multiobjective Optimization Algorithm for IoT Service. IEEE Transactions on Cybernetics. 2020;50(1):164-177.
Yang, Z., Ding, Y., Jin, Y., & Hao, K. (2020). Immune-Endocrine System Inspired Hierarchical Coevolutionary Multiobjective Optimization Algorithm for IoT Service. IEEE Transactions on Cybernetics, 50(1), 164-177. https://doi.org/10.1109/TCYB.2018.2866527
Yang, Zhen, Ding, Yongsheng, Jin, Yaochu, and Hao, Kuangrong. 2020. “Immune-Endocrine System Inspired Hierarchical Coevolutionary Multiobjective Optimization Algorithm for IoT Service”. IEEE Transactions on Cybernetics 50 (1): 164-177.
Yang, Z., Ding, Y., Jin, Y., and Hao, K. (2020). Immune-Endocrine System Inspired Hierarchical Coevolutionary Multiobjective Optimization Algorithm for IoT Service. IEEE Transactions on Cybernetics 50, 164-177.
Yang, Z., et al., 2020. Immune-Endocrine System Inspired Hierarchical Coevolutionary Multiobjective Optimization Algorithm for IoT Service. IEEE Transactions on Cybernetics, 50(1), p 164-177.
Z. Yang, et al., “Immune-Endocrine System Inspired Hierarchical Coevolutionary Multiobjective Optimization Algorithm for IoT Service”, IEEE Transactions on Cybernetics, vol. 50, 2020, pp. 164-177.
Yang, Z., Ding, Y., Jin, Y., Hao, K.: Immune-Endocrine System Inspired Hierarchical Coevolutionary Multiobjective Optimization Algorithm for IoT Service. IEEE Transactions on Cybernetics. 50, 164-177 (2020).
Yang, Zhen, Ding, Yongsheng, Jin, Yaochu, and Hao, Kuangrong. “Immune-Endocrine System Inspired Hierarchical Coevolutionary Multiobjective Optimization Algorithm for IoT Service”. IEEE Transactions on Cybernetics 50.1 (2020): 164-177.