A Many-Objective Optimization Model of Industrial Internet of Things Based on Private Blockchain

Cao, Bin; Wang, Xuesong; Zhang, Weizheng; Song, Houbing; Lv, Zhihan

doi:10.1109/mnet.011.1900536

Cited by 222 publications

(76 citation statements)

References 10 publications

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“…The Internet of things is a network of all ordinary physical objects that can be independently addressable and interconnected. In recent years, rapid development has been made based on high-speed communication technology [ 3 , 4 ]. The application of Internet of things in medicine has made great progress [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Remote Public Medical Emergency Management System with Low Delay Based on Internet of Things

Feng

Zhong-yu

2021

Journal of Healthcare Engineering

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Due to the limitation of economic geography condition, the existing health resources distribution is uneven, the emergence of remote medical disciplines perfectly solved this difficult problem, using computer and network communication network on audio video information transmissions, querying, display, storage, and backup and realizing the network of outpatient service, remote consultation, health advice, and other functions. Telemedicine enables the limited available medical resources to be shared and fully utilized and also enables many economically underdeveloped provinces to enjoy a higher level of medical sharing services. Public health emergency management system on the overall design of the low latency according to system function will be based on the Internet of things. The remote public health emergency management system is divided into three subsystems low latency modules, basic subsystems of platform, application platform, and specific application subsystems, and designs the structure of the various modules. The implementation process is given. In the realization of the system, this paper describes in detail how to realize the functions of the public medical low delay emergency management system, and, in the end, the realization process of the system is reasonably summarized. The application of Internet of things technology in regional emergency rescue can realize the identification and real-time positioning of material personnel, the collection and transmission of the wounded’s physiological information, real-time information transmission, and interaction based on mobile handheld devices, as well as the integration of emergency rescue resources, information integration, and command decision-making, so as to assist rescue operations and improve rescue efficiency.

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Section: Introductionmentioning

confidence: 99%

Optimization of Remote Public Medical Emergency Management System with Low Delay Based on Internet of Things

Feng

Zhong-yu

2021

Journal of Healthcare Engineering

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“…2. We should improve consumers' satisfaction with products, improve their online and offline consumption experience, establish brand image, improve product competitiveness and attract consumers to become loyal users of cross-border products [43][44][45][46]. 3.…”

Section: Model Hypothesismentioning

confidence: 99%

Optimization algorithm and simulation of supply chain coordination based on cross-border E-commerce network platform

Wang

2021

J Wireless Com Network

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With the rapid development of cross-border e-commerce, the improvement of consumer satisfaction has become the focus of cross-border e-commerce platform optimization. Relying on advanced algorithm technology, it can realize the accurate and efficient matching between massive information and users, which is conducive to improving the user experience. Based on the consideration of consumer satisfaction, this paper constructs a dual channel supply chain composed of cross-border suppliers, cross-border e-commerce enterprises, retailers and consumers and studies the revenue and cost sharing contract of the supply chain under the conditions of centralized decision and decentralized decision. The research shows that cross-border e-commerce enterprises can choose to form revenue and expenditure sharing contracts through online and offline channels, optimize decentralized decision-making, and achieve win–win cooperation among supply chain entities.

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“…many-objective problems [11], [12], fuzzy-based optimization [13], and memetic techniques [14]. Suppose the conceivably complex problems at hand need the optimal solutions.…”

Section: Introductionmentioning

confidence: 99%

Chaotic Arc Adaptive Grasshopper Optimization

et al. 2021

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The grasshopper optimization algorithm (GOA) has become one of the most widely used methods, regardless of its shortcomings in its performance and algorithm design. To further harmonize exploration and exploitation in the GOA, this paper proposed an enhanced variant of the primary method by incorporating chaos theory to address the problems of slow convergence, low solution accuracy, and stagnation. Structural code analysis and previous works reveal that the grasshopper algorithm's internal function is one of these shortcomings' primary sources. The proposed GOA-based method employed an adaptive arc function instead of the grasshopper algorithm's internal function to strengthen and balance the global exploration capabilities and local exploitation capacities without any expensive modifications. Additionally, the chaotic mapping strategy was adopted to update the individual positions of agents iteratively. The individuals near the current optimal solution were disturbed to regenerate the optimal solution and enhance the swarm's diversity. This idea improves the global inspection capacity and discourages falling into local optima. To verify the proposed technique's effectiveness, a comprehensive set of twenty-seven benchmark cases and three engineering design problems were used for validation. We compared the proposed GOA-based method with the WOA, SCA, GOA, DA, CSSA, CGSCA, CLPSO, GL25, and OBWOA. Additionally, we tested the designed GOA against LSHADE, SHADE, EBOwithCMAR, SaDE, MPEDE, and EPSDE. Simulation results demonstrated that the algorithm was substantially superior to the original technique. Its global optimization competence, search accuracy, and convergence performance were notably improved. The results expose the regulation of this internal factor, which significantly affects the quality of the results. Further information about this research and assistance with any request is available at http://aliasgharheidari.com. INDEX TERMSGrasshopper optimization algorithm, swarm intelligence, chaotic maps, engineering design problem.

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A Many-Objective Optimization Model of Industrial Internet of Things Based on Private Blockchain

Cited by 222 publications

References 10 publications

Optimization of Remote Public Medical Emergency Management System with Low Delay Based on Internet of Things

Optimization of Remote Public Medical Emergency Management System with Low Delay Based on Internet of Things

Optimization algorithm and simulation of supply chain coordination based on cross-border E-commerce network platform

Chaotic Arc Adaptive Grasshopper Optimization

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