In the era of the Internet of Things (IoT), blockchain is a promising technology for improving the efficiency of healthcare systems, as it enables secure storage, management, and sharing of real-time health data colle...
详细信息
ISBN:
(纸本)9798350333077
In the era of the Internet of Things (IoT), blockchain is a promising technology for improving the efficiency of healthcare systems, as it enables secure storage, management, and sharing of real-time health data collected by the IoT devices. As the implementations of blockchain-based healthcare systems usually involve multiple conflicting metrics, it is essential to balance them according to the requirements of specific scenarios. In this paper, we formulate a joint optimization model with three metrics, namely latency, security, and computational cost, that are particularly important for IoT-enabled healthcare. However, it is computationally intractable to identify the exact optimal solution of this problem for practical sized systems. Thus, we propose an algorithm called the Adaptive Discrete particleswarmalgorithm (ADPSA) to obtain near-optimal solutions in a low-complexity manner. With its roots in the classical particleswarmoptimization (PSO) algorithm, our proposed ADPSA can effectively manage the numerous binary and integer variables in the formulation. We demonstrate by extensive numerical experiments that the ADPSA consistently outperforms existing benchmark approaches, including the original PSO, exhaustive search and Simulated Annealing, in a wide range of scenarios.
The direct displacement-based design (DDBD) procedure is well established for designing reinforced concrete and steel moment-resisting frames (SMRFs). However, a limited number of researches is available on optimum DD...
详细信息
The direct displacement-based design (DDBD) procedure is well established for designing reinforced concrete and steel moment-resisting frames (SMRFs). However, a limited number of researches is available on optimum DDBD of SMRFs. Furthermore, the nonlinear time-history analysis response of structures designed based on this procedure is inconsistent with its initial assumptions. Design displacement profile is one of the most essential and influential parameters in the DDBD method because it can impress other design parameters. In this paper, an optimum displacement profile is proposed to improve the results of the DDBD procedure via using the particleswarmoptimization (PSO) algorithm. In this regard, nine SMRFs with a different number of stories have been designed using the DDBD procedure. Nonlinear time history analyses are performed for these frames using OpenSees software. The models are subjected to a set of 20 ground motion records. Then, PSO algorithm has been used to optimize the displacement profile of the DDBD procedure to achieve uniform drift distribution along with the height of the frames. Finally, based on regression analysis, the optimum design displacement profile for SMRFs with a different number of stories is formulated. The proposed equations show an average reduction of about 20% and 40% in steel usage and design base shear of the frames, respectively, while they have uniform drift along their heights.
A PI (proportional integral) control parameter optimization method based on particleswarmoptimization improved grey wolf algorithm is proposed to address the issues of insufficient parameter adjustment accuracy, slo...
详细信息
In this paper, a variant of particleswarmoptimization (PSO) algorithm using modified time varying acceleration coefficients (PSO-TVAC) has been proposed and applied in creation of new test cases for modified code in...
详细信息
ISBN:
(纸本)9780769549675
In this paper, a variant of particleswarmoptimization (PSO) algorithm using modified time varying acceleration coefficients (PSO-TVAC) has been proposed and applied in creation of new test cases for modified code in regression testing. The performance of the proposed algorithm is compared with other existing PSO algorithms on five well known benchmark test functions. The experiments prove that the proposed algorithm has better performance. The test cases generated by the proposed PSO-TVAC algorithm have greater code coverage capability over the initial test cases.
Increasing the application of renewable energy in the power system is an effective way to achieve the goal of‘Dual Carbon’.At the same time,the high proportion of renewable energy connected to the grid endangers the...
详细信息
Increasing the application of renewable energy in the power system is an effective way to achieve the goal of‘Dual Carbon’.At the same time,the high proportion of renewable energy connected to the grid endangers the safe operation of the power *** solve this problem,this paper proposes the application of a copula function to describe the correlation between wind power and photovoltaic power,and reduce the uncertainty of power-system operation with a high proportion of renewable *** order to increase the robustness of the model,this paper proposes the application of the conditional value-at-risk theory to construct the objective function of the model and effectively control the tail risk of power-system operation *** case analysis,it is found that the model proposed in this paper has strong practicality and economy.
The emergence of robots has replaced repetitive manual labor, and good robotic arm route planning can effectively improve work efficiency. This paper briefly introduced the motion model and trajectory planning method ...
详细信息
The emergence of robots has replaced repetitive manual labor, and good robotic arm route planning can effectively improve work efficiency. This paper briefly introduced the motion model and trajectory planning method of robotic arms. The motion trajectory of robot arms was optimized by the genetic algorithm-improved particleswarmoptimization (PSO) algorithm, and simulation experiments were carried out. The results showed that the improved PSO algorithm converged faster and had the lowest fitness after stable convergence;the arm had continuous and smooth changes in angle, angular velocity and angular acceleration and consumed the shortest time while moving on the route planned by the improved particleswarmalgorithm, and the improved PSO algorithm took the shortest time to compute the route.
In this paper, we study the problem of wafer production equipment maintenance scheduling. In order to shorten the maintenance time and ensure the continuity of the production, we proposed an improved particleswarm op...
详细信息
ISBN:
(纸本)9781728165790
In this paper, we study the problem of wafer production equipment maintenance scheduling. In order to shorten the maintenance time and ensure the continuity of the production, we proposed an improved particleswarmoptimization (PSO) algorithm. The proposed hybrid algorithm is based on standard PSO, and integrated PSO with Simulated Annealing (SA) with probabilistic jump ability to avoid PSO trapping in local optimum. Besides, adaptive adjustment method of inertia weight is used, and add disturbance to the velocity update formula of the algorithm to ensure the fast optimization of particles in the early stage and avoid premature convergence. Experiment results indicate that the proposed algorithm is significant in terms of the maintenance time and downtime loss compared to conventional approaches.
Traditional battery thermal models either lack accuracy or have high computational costs, making it difficult for battery management systems to monitor battery temperature online. In this study, a three-dimensional th...
详细信息
In the present-day scenario, the management of grids plays a vital role. Demand-side management here acts as an important tool in developing trends. to meet the total power demand during peak loads, like reducing the ...
详细信息
In order to make buses have the priority to bus and ease the intersection congestion, this paper designs bus-priority intersection signal control system based on wireless sensor network and improved layered parallel p...
详细信息
In order to make buses have the priority to bus and ease the intersection congestion, this paper designs bus-priority intersection signal control system based on wireless sensor network and improved layered parallel particleswarmoptimization (ILPPSO) algorithm. Dynamic network mode of wireless sensor network is used to collect the information of bus flow by adding nodes to it. The channelization method of intersections is improved by setting up bus lane. We build signal timing optimization model based on the traffic data collected by wireless sensor network and use improved particle swarm optimization algorithm to solve it. Finally, based on VISSIM soft, the signal control system is tested by programming. The results show that the signal control system can ease bus flow of intersections quickly and reduce vehicle's delay efficiently.
暂无评论