A review of existing pension services in developed and developing countries

Beknazarov, Zafar; Rustamov, Davron

doi:10.1051/e3sconf/202125805040

Cited by 2 publications

(1 citation statement)

References 23 publications

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“…Regional evacuation refers to the process of moving people from a dangerous area to a safe area within a certain period. The study of regional evacuation involves the division of evacuation areas, the estimation of evacuation traffic needs, and the formulation of evacuation plans [4][5][6]. Community evacuation refers to the problem of evacuating the community population from a hazardous area to a safe area, which is a type of regional evacuation.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Evacuation Route Planning Algorithm Based on Maximum Flow

Liu

Jin

Liu

et al. 2022

IJERPH

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This paper focuses on the problem of intelligent evacuation route planning for emergencies, including natural and human resource disasters and epidemic disasters, such as the COVID-19 pandemic. The goal of this study was to quickly generate an evacuation route for a community for victims to be evacuated to safe areas as soon as possible. The evacuation route planning problem needs to determine appropriate routes and allocate a specific number of victims to each route. This paper formulates the problem as a maximum flow problem and proposes a binary search algorithm based on a maximum flow algorithm, which is an intelligent optimization evacuation route planning algorithm for the community. Furthermore, the formulation is a nonlinear optimization problem because each route’s suggested evacuation time is a convex nonlinear function of the number of victims assigned to that route. Finally, numerical examples and Matlab simulations demonstrate not only the algorithm’s effectiveness, but also that the algorithm has low complexity and high precision. The study’s findings offer a practical solution for nonlinear models of evacuation route planning, which will be widely used in human society and robot path planning schemes.

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Section: Introductionmentioning

confidence: 99%

Intelligent Evacuation Route Planning Algorithm Based on Maximum Flow

Liu

Jin

Liu

et al. 2022

IJERPH

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Research on Optimization Path of Intelligent Pension Industry Based on Intelligent Fusion Algorithm of Multisource Information

Hao

Sun

Han

2021

Scientific Programming

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Accurate quantitative evaluation of the supervision effect of the smart pension industry can reduce the cost of social pension. The traditional methods cannot effectively classify the regulatory risk levels of the smart pension industry. Therefore, this paper proposes a multisource information intelligent fusion algorithm based on the intelligent pension industry optimization path research. Firstly, we establish the principal model of the supervision effect system of the intelligent elderly care industry optimization path and describe the risk level of the supervision effect from different levels. We build the intelligent service platform of the intelligent elderly care training, calculate the weight vector of the supervision risk of the optimization path at all levels, and determine the attribute type of the supervision effect at all levels. Finally, we calculate the maximum influence value of the supervision effect of the intelligent elderly care industry optimization path and use this value to complete the quantitative evaluation of its supervision effect. Simulation results show that the proposed method can evaluate the regulatory effect of smart pension industry and improve the precision of the regulatory effect of smart pension industry effectively.

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A review of existing pension services in developed and developing countries

Cited by 2 publications

References 23 publications

Intelligent Evacuation Route Planning Algorithm Based on Maximum Flow

Intelligent Evacuation Route Planning Algorithm Based on Maximum Flow

Research on Optimization Path of Intelligent Pension Industry Based on Intelligent Fusion Algorithm of Multisource Information

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