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In this work, a heuristic method was proposed for scheduling a real life system.
For this purpose, a new method is proposed for scheduling dynamic cellular manufacturing systems in the presence of bottleneck and parallel machines.
A two-stage artificial bee colony (TABC) algorithm is proposed for scheduling and re-scheduling with new job(s) inserting.
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The simulation results demonstrate that the proposed framework for scheduling the storage space heating load provides a method to selectively hedge against the price and load uncertainty risk.
In this paper, a dynamic residential load scheduling system (DRLS) is proposed for optimal scheduling of household appliances on the basis of an adaptive consumption level (CL) pricing scheme (ACLPS).
A novel meta-heuristic algorithm that is based on the principles of particle swarm optimization (PSO) is proposed for course scheduling problem.
A separate design principle is proposed for multichannel scheduling in priority-aware packet collection.
In that work, a cluster-based strategy was proposed for the scheduling of EV charging, in which uncertainties such as charging power were modelled by intervals.
The main contributions of this work are summarized as follows: A separate design principle is proposed for multichannel scheduling in priority-aware packet collection.
Then, a smart green energy-efficient scheduling strategy is proposed for the task scheduling in the data center, based on the renewable energy prediction and the dynamic grid electricity price.
In [34], authors have proposed a mechanism for scheduling mobile sensors in time-sensitive WSN applications.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com