Article: The regulation method of agricultural internet of things services based on dynamic multi-objective optimisation Journal: International Journal of Computational Systems Engineering (IJCSYSE) 2026 Vol.10 No.11 pp.1 - 10 Abstract: In response to the complex and ever-changing environmental impacts faced in the current construction of agricultural internet of things technology. A supervision method for agricultural internet of things services based on dynamic multi-objective optimisation is proposed. The poor dynamic capabilities in the intelligent agricultural internet of things can be solved by constructing a decomposed algorithm. According to the findings, it performed well in convergence, hypervolume value and extreme point accuracy. This algorithm could propose the optimal service matching scheme based on a single-target service strategy, with good diversity. In addition, the calculation time of this algorithm was relatively short. Compared with the other two comparison methods, it led by 3.59s and 8.39s, respectively. Meanwhile, the average service cost of this algorithm was relatively low. It reduced the average service cost by 16.39% and 25.00%, respectively. Overall, the dynamic multi-objective optimisation agricultural internet of things regulation method has performed well in practical application, significantly improving accuracy. It can provide the highest quality service at the lowest cost within the shortest service time. In summary, this research provides an effective solution for the regulation of internet of things services in the intelligent agriculture. Inderscience Publishers - linking academia, business and industry through research

Title: The regulation method of agricultural internet of things services based on dynamic multi-objective optimisation

Authors: Chaoqun Huang; Qianlan Liu; Wenbin Qian

Addresses: School of Economics and Management, Hunan University of Science and Engineering, Yongzhou 425199, China ' School of Information Engineering, Hunan University of Science and Engineering, Yongzhou 425199, China ' School of Economics and Management, Hunan University of Science and Engineering, Yongzhou 425199, China

Abstract: In response to the complex and ever-changing environmental impacts faced in the current construction of agricultural internet of things technology. A supervision method for agricultural internet of things services based on dynamic multi-objective optimisation is proposed. The poor dynamic capabilities in the intelligent agricultural internet of things can be solved by constructing a decomposed algorithm. According to the findings, it performed well in convergence, hypervolume value and extreme point accuracy. This algorithm could propose the optimal service matching scheme based on a single-target service strategy, with good diversity. In addition, the calculation time of this algorithm was relatively short. Compared with the other two comparison methods, it led by 3.59s and 8.39s, respectively. Meanwhile, the average service cost of this algorithm was relatively low. It reduced the average service cost by 16.39% and 25.00%, respectively. Overall, the dynamic multi-objective optimisation agricultural internet of things regulation method has performed well in practical application, significantly improving accuracy. It can provide the highest quality service at the lowest cost within the shortest service time. In summary, this research provides an effective solution for the regulation of internet of things services in the intelligent agriculture.

Keywords: internet of things; IoT; MOO algorithm; dynamic multi-objective optimisation algorithm; agriculture.

DOI: 10.1504/IJCSYSE.2026.155739

International Journal of Computational Systems Engineering, 2026 Vol.10 No.11, pp.1 - 10

Received: 07 Dec 2023
Accepted: 10 Mar 2024
Published online: 12 Aug 2026 *

Title: The regulation method of agricultural internet of things services based on dynamic multi-objective optimisation

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