In the context of rising energy costs and environmental concerns,the challenge of energy consumption has become paramount for the manufacturing industry.Traditional production manufacturing systems are seeking innovat...In the context of rising energy costs and environmental concerns,the challenge of energy consumption has become paramount for the manufacturing industry.Traditional production manufacturing systems are seeking innovative solutions to enhance efficiency and reduce energy consumption.One promising approach involves the integration of Unmanned Aerial Vehicles(UAVs)into the production process,leveraging their flexibility and efficiency.This research addresses the Parallel Machine Scheduling Problem for UAVs(PMSP-UAV),aiming to minimize both makespan and total energy consumption.The energy consumption metrics considered during the production process include startup,running,and idle energy.To simultaneously optimize the makespan and energy consumption objectives,we propose a knowledge-based Multi-Objective Discrete Artificial Bee Colony(MODABC)algorithm.This algorithm incorporates External Archiving(EA)and an elite knowledge-based guidance strategy to enhance convergence.A knowledge-based local search method is applied to the elites to enhance their quality,while the elite knowledge-based guidance scout bee phase prevents premature convergence.Finally,the efficacy of the proposed algorithm is rigorously validated through extensive testing on a dataset comprising over 100 real-world instances derived from an operational factory setting.展开更多
Dear Editor,This letter presents a joint probabilistic scheduling and resource allocation method(PSRA) for 5G-based wireless networked control systems(WNCSs). As a control-aware optimization method, PSRA minimizes the...Dear Editor,This letter presents a joint probabilistic scheduling and resource allocation method(PSRA) for 5G-based wireless networked control systems(WNCSs). As a control-aware optimization method, PSRA minimizes the linear quadratic Gaussian(LQG) control cost of WNCSs by optimizing the activation probability of subsystems, the number of uplink repetitions, and the durations of uplink and downlink phases. Simulation results show that PSRA achieves smaller LQG control costs than existing works.展开更多
In the context of the national“River Strategies”and the implementation of the Yangtze River Protection Law,the demands is increasing for the benefits of water projects in the Yangtze River Basin.In view of this,the ...In the context of the national“River Strategies”and the implementation of the Yangtze River Protection Law,the demands is increasing for the benefits of water projects in the Yangtze River Basin.In view of this,the value of joint scheduling of control reservoirs in the Yangtze River Basin,which has the important function of integrating and coordinating multiple benefit objectives,has become increasingly prominent.The joint scheduling of control reservoirs in the Yangtze River Basin is gradually developed and optimized in the long-term concrete practice in China.After continuous practical testing,the system connotations of joint scheduling of control reservoirs in the Yangtze River Basin have become clearer,the design structure has become more complete,and the normative content has become more comprehensive.The overall system shows a high degree of sophistication.Based on analysis on the conceptual connotation,practical development,system composition,and implementation process of the joint scheduling of control reservoirs in the Yangtze River Basin,it can be found that the system is not completely stable and fixed,but has been constantly optimized and improved,encompassing a growing number of responsible entities and objects of joint scheduling,reflecting increasingly diversified goals and benefits of joint scheduling,and indicating a increasing level of intelligence in joint scheduling and other optimization and development trends.展开更多
基金supported by the National Natural Science Foundation of China(No.62203458).
文摘In the context of rising energy costs and environmental concerns,the challenge of energy consumption has become paramount for the manufacturing industry.Traditional production manufacturing systems are seeking innovative solutions to enhance efficiency and reduce energy consumption.One promising approach involves the integration of Unmanned Aerial Vehicles(UAVs)into the production process,leveraging their flexibility and efficiency.This research addresses the Parallel Machine Scheduling Problem for UAVs(PMSP-UAV),aiming to minimize both makespan and total energy consumption.The energy consumption metrics considered during the production process include startup,running,and idle energy.To simultaneously optimize the makespan and energy consumption objectives,we propose a knowledge-based Multi-Objective Discrete Artificial Bee Colony(MODABC)algorithm.This algorithm incorporates External Archiving(EA)and an elite knowledge-based guidance strategy to enhance convergence.A knowledge-based local search method is applied to the elites to enhance their quality,while the elite knowledge-based guidance scout bee phase prevents premature convergence.Finally,the efficacy of the proposed algorithm is rigorously validated through extensive testing on a dataset comprising over 100 real-world instances derived from an operational factory setting.
基金supported by the Liaoning Revitalization Talents Program(XLYC2203148)
文摘Dear Editor,This letter presents a joint probabilistic scheduling and resource allocation method(PSRA) for 5G-based wireless networked control systems(WNCSs). As a control-aware optimization method, PSRA minimizes the linear quadratic Gaussian(LQG) control cost of WNCSs by optimizing the activation probability of subsystems, the number of uplink repetitions, and the durations of uplink and downlink phases. Simulation results show that PSRA achieves smaller LQG control costs than existing works.
文摘In the context of the national“River Strategies”and the implementation of the Yangtze River Protection Law,the demands is increasing for the benefits of water projects in the Yangtze River Basin.In view of this,the value of joint scheduling of control reservoirs in the Yangtze River Basin,which has the important function of integrating and coordinating multiple benefit objectives,has become increasingly prominent.The joint scheduling of control reservoirs in the Yangtze River Basin is gradually developed and optimized in the long-term concrete practice in China.After continuous practical testing,the system connotations of joint scheduling of control reservoirs in the Yangtze River Basin have become clearer,the design structure has become more complete,and the normative content has become more comprehensive.The overall system shows a high degree of sophistication.Based on analysis on the conceptual connotation,practical development,system composition,and implementation process of the joint scheduling of control reservoirs in the Yangtze River Basin,it can be found that the system is not completely stable and fixed,but has been constantly optimized and improved,encompassing a growing number of responsible entities and objects of joint scheduling,reflecting increasingly diversified goals and benefits of joint scheduling,and indicating a increasing level of intelligence in joint scheduling and other optimization and development trends.
