Results 1 to 10 of about 275,856 (278)

Scheduling optimization based on particle swarm optimization algorithm in emergency management of long-distance natural gas pipelines. [PDF]

open access: yesPLoS ONE
This paper aims to solve the scheduling optimization problem in the emergency management of long-distance natural gas pipelines, with the goal of minimizing the total scheduling time.
Huichao Guo, Runhua Huang, Shuqin Cheng
doaj   +2 more sources

Application of artificial intelligence based on state grid ESG platform in clean energy scheduling optimization [PDF]

open access: yesScientific Reports
The randomness and volatility of existing clean energy sources have increased the complexity of grid scheduling. To address this issue, this work proposes an artificial intelligence (AI) empowered method based on the Environmental, Social, and Governance
Tianyi Zhu   +5 more
doaj   +2 more sources

Research on hybrid reservoir scheduling optimization based on improved walrus optimization algorithm with coupling adaptive ε constraint and multi-strategy optimization [PDF]

open access: yesScientific Reports
Reservoir flood control scheduling is a challenging optimization task, particularly due to the complexity of various constraints. This paper proposes an innovative algorithm design approach to address this challenge.
Ji He   +4 more
doaj   +2 more sources

Survey of Multi-cloud Workflow Scheduling [PDF]

open access: yesJisuanji kexue, 2022
Traditional cloud providers provide services solely for users,which has problems of insufficient local cloud resources and high expansion costs.While the emerging multi-cloud combines services of cloud providers with different geographical locations ...
YU Hao-wen, LIU Bo, ZHOU Na-qin, LIN Wei-wei, LIU Peng
doaj   +1 more source

Stacker Scheduling and Repository Location Recommendation Based on Multi-Task Reinforcement Learning [PDF]

open access: yesJisuanji gongcheng, 2023
Stacker scheduling is an essential task in warehousing automation.Inbound-outbound efficiency and storage situations affect overall efficiency.When handling large-scale problems, traditional scheduling methods cannot achieve performance because ...
RAO Dongning, LUO Nanyue
doaj   +1 more source

Self-balanced Scheduling Strategy for Container Cluster Based on Improved DQN Algorithm [PDF]

open access: yesJisuanji kexue, 2023
The resource scheduling strategy of container cloud system plays an important role in resource utilization and cluster performance.The existing container cluster scheduling does not fully take into account the resource occupancy within and between nodes ...
XIE Yongsheng, HUANG Xiangheng, CHEN Ningjiang
doaj   +1 more source

Application of Chaotic Cat Swarm Optimization in Cloud Computing Multi Objective Task Scheduling

open access: yesIEEE Access, 2023
In cloud computing multi-task scheduling, a large number of tasks require the system to have excellent task scheduling capabilities to ensure stable and efficient operation of the system. However, the integration and scheduling of multi-task resources in
Haiyu Zhang, Runliang Jia
doaj   +1 more source

Linear Project-Scheduling Optimization Considering a Reverse Construction Scenario

open access: yesApplied Sciences, 2023
The linear scheduling method (LSM) for optimization in linear projects has been the focus of numerous academic studies over the years. However, research on incorporating reverse construction activities and other practical scenarios, such as flexible ...
Ze Yu   +4 more
doaj   +1 more source

Energy-Efficient Adaptive Sensing Scheduling in Wireless Sensor Networks Using Fibonacci Tree Optimization Algorithm

open access: yesSensors, 2021
Wireless sensor networks are appealing, largely because they do not need wired infrastructure, but it is precisely this feature that renders them energy-constrained.
Liangshun Wu, Hengjin Cai
doaj   +1 more source

Optimal outpatient appointment scheduling [PDF]

open access: yesHealth Care Management Science, 2007
In this paper optimal outpatient appointment scheduling is studied. A local search procedure is derived that converges to the optimal schedule with a weighted average of expected waiting times of patients, idle time of the doctor and tardiness (lateness) as objective. No-shows are allowed to happen. For certain combinations of parameters the well-known
Kaandorp, G., Koole, G.M.
openaire   +3 more sources

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