Guest Editorial Advances of Systems Research in Service Industry

Xu, Li Da

doi:10.1109/jsyst.2013.2279921

Cited by 3 publications

(2 citation statements)

References 33 publications

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“…It can provide reliable measurement sensor results on the multi‐objective optimization. BSP‐GA is highly promising for use in high‐speed real‐time applications, especially for the optimization that must be carried out frequently in IoT. Topology construction of WSN for IoT A WSN is a self‐organization wireless network system constituted by several energy‐limited microsensors under the banner of the IoT (Xu, ). The sensors can sense, measure and gather information from the environment, and, based on some local decision process, they can transmit the sensed data to the users.…”

Section: Test For Bsp‐ga and Its Applications In Iot Systemmentioning

confidence: 99%

“…A WSN is a self‐organization wireless network system constituted by several energy‐limited microsensors under the banner of the IoT (Xu, ). The sensors can sense, measure and gather information from the environment, and, based on some local decision process, they can transmit the sensed data to the users.…”

Section: Test For Bsp‐ga and Its Applications In Iot Systemmentioning

confidence: 99%

See 1 more Smart Citation

BSP‐GA: A new Genetic Algorithm for System Optimization and Excellent Schema Selection

Jin

Wilamowska-Korsak

et al. 2014

Syst. Res.

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The significance of Internet‐of‐Things to Supply Chain Management has been dramatically increasing. The performance of supply chain based on Internet‐of‐Things is largely dependent on its optimization. Genetic algorithms (GAs) are important intelligent methods for complex system optimization problems, but they have some internal drawbacks such as premature and slow convergence to the global optimum. In this paper, we present a new schema protection based GA (BSP‐GA). First, we propose three principles for selecting excellent schema based on the schema theory; second, we propose the concept of K‐intensive effect synthesis operator, and we give a general five‐intensive effect synthesis operator and its proof; third, we give the selection process of excellent schema through an example, and further we give the implementation steps of BSP‐GA. The performance of BSP‐GA has been compared with simple GA by using two carefully chosen benchmark problems. It has been observed that BSP‐GA can yield the global optimum more efficiently than commonly used simple GA. Furthermore, a theorem is presented to guarantee the convergence of BSP‐GA. Copyright © 2014 John Wiley & Sons, Ltd.

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Section: Test For Bsp‐ga and Its Applications In Iot Systemmentioning

confidence: 99%

Section: Test For Bsp‐ga and Its Applications In Iot Systemmentioning

confidence: 99%