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Energy-Efficient Dynamic Workflow Scheduling in Cloud Environments Using Deep Learning [PDF]
SensorsDynamic workflow scheduling in cloud environments is a challenging task due to task dependencies, fluctuating workloads, resource variability, and the need to balance makespan and energy consumption.
Sunera Chandrasiri, Dulani Meedeniya
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Journal of Engineering and Management in Industrial System, 2014 In the flow shop scheduling each job will go through every machine in the same order. The goal of this research is to complete a series of jobs in order to obtain the optimal makespan for stick skewers rounding machine.
Dian Setiya Widodo +2 more
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Neuro-Evolution of Augmenting Topologies for Dynamic Scheduling of Hybrid Flow Shop Problem
Engineering Proceedings, 2023 In this paper, the Neuro-Evolution of Augmenting Topologies (NEAT) algorithm is proposed to minimize the maximum completion time in a dynamic scheduling problem of hybrid flow shops.
Junjie Zhang +3 more
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Modeling and optimization of bakery production scheduling to minimize makespan and oven idle time
Scientific Reports, 2023 Makespan dominates the manufacturing expenses in bakery production. The high energy consumption of ovens also has a substantial impact, which bakers may overlook.
Majharulislam Babor +3 more
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Makespan-Minimizing Heterogeneous Task Allocation under Temporal Constraints
Aerospace, 2023 Task allocation is an essential element for determining the capability of multi-UAV systems to perform various tasks. This paper presents a procedure called a “rebalancing algorithm” for generating task-performing routes in heterogeneous multi-UAV ...
Byeong-Min Jeong +5 more
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AdPSO: Adaptive PSO-Based Task Scheduling Approach for Cloud Computing
Sensors, 2022 Cloud computing has emerged as the most favorable computing platform for researchers and industry. The load balanced task scheduling has emerged as an important and challenging research problem in the Cloud computing.
Said Nabi +3 more
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Proposed a branch and bound algorithm for Assembly flow shop scheduling problem [PDF]
مجله مدل سازی در مهندسی, 2017 Assembly flow shop production system includes two stages. In the first stage that is usually assumed one station with some parallel machines, the parts are processed.
seyed mohammad hassan hosseini +1 more
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Fast Evolutionary Algorithm for Flow Shop Scheduling Problems
IEEE Access, 2021 Being complex and combinatorial optimization problems, Permutation Flow Shop Scheduling Problems (PFSSP) are difficult to be solved optimally. PFSSP occurs in many manufacturing systems i.e. automobile industry, glass industry, paper industry, appliances
Bilal Khurshid +5 more
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IEEE Access, 2021 This paper considers an unrelated parallel machine problem with job release times and maintenance activities, in which machines have to periodically undergo maintenance since the status of the machines will be deteriorated by job-induced dirt.
Jihong Pang, Ya-Chih Tsai, Fuh-Der Chou
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A Multi Objective Evolutionary Algorithm based on Decomposition for a Flow Shop Scheduling Problem in the Context of Industry 4.0 [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2022 Under the novel paradigm of Industry 4.0, missing operations have arisen as a result of the increasingly customization of the industrial products in which customers have an extended control over the characteristics of the final products.
Diego Gabriel Rossit +2 more
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