Empowering things with intelligence: a survey of the progress, challenges, and opportunities in artificial intelligence of things
In the Internet-of-Things (IoT) era, billions of sensors and devices collect and process data
from the environment, transmit them to cloud centers, and receive feedback via the Internet …
from the environment, transmit them to cloud centers, and receive feedback via the Internet …
Iterated greedy algorithms for flow-shop scheduling problems: A tutorial
ZY Zhao, MC Zhou, SX Liu - IEEE Transactions on Automation …, 2021 - ieeexplore.ieee.org
An iterated greedy algorithm (IGA) is a simple and powerful heuristic algorithm. It is widely
used to solve flow-shop scheduling problems (FSPs), an important branch of production …
used to solve flow-shop scheduling problems (FSPs), an important branch of production …
Stochastic hybrid discrete grey wolf optimizer for multi-objective disassembly sequencing and line balancing planning in disassembling multiple products
Recycling, reusing, and remanufacturing of end-of-life (EOL) products have been receiving
increasing attention. They effectively preserve the ecological environment and promote the …
increasing attention. They effectively preserve the ecological environment and promote the …
Dual-objective mixed integer linear program and memetic algorithm for an industrial group scheduling problem
Z Zhao, S Liu, MC Zhou… - IEEE/CAA Journal of …, 2020 - ieeexplore.ieee.org
Group scheduling problems have attracted much attention owing to their many practical
applications. This work proposes a new bi-objective serial-batch group scheduling problem …
applications. This work proposes a new bi-objective serial-batch group scheduling problem …
Energy-efficient scheduling of distributed flow shop with heterogeneous factories: A real-world case from automobile industry in China
Distributed flow shop scheduling of a camshaft machining is an important optimization
problem in the automobile industry. The previous studies on distributed flow shop …
problem in the automobile industry. The previous studies on distributed flow shop …
An effective cloud workflow scheduling approach combining PSO and idle time slot-aware rules
Y Wang, X Zuo - IEEE/CAA journal of automatica sinica, 2021 - ieeexplore.ieee.org
Workflow scheduling is a key issue and remains a challenging problem in cloud computing.
Faced with the large number of virtual machine (VM) types offered by cloud providers, cloud …
Faced with the large number of virtual machine (VM) types offered by cloud providers, cloud …
Heuristic scheduling of batch production processes based on petri nets and iterated greedy algorithms
Wire rod and bar rolling is an important batch production process in steel production
systems. A scheduling problem originated from this process is studied in this work by …
systems. A scheduling problem originated from this process is studied in this work by …
An efficient interval many-objective evolutionary algorithm for cloud task scheduling problem under uncertainty
Z Zhang, M Zhao, H Wang, Z Cui, W Zhang - Information Sciences, 2022 - Elsevier
Task scheduling is an important research direction in cloud computing. The current research
on task scheduling considers mainly the design of scheduling strategies and algorithms and …
on task scheduling considers mainly the design of scheduling strategies and algorithms and …
An effective iterated greedy method for the distributed permutation flowshop scheduling problem with sequence-dependent setup times
The distributed permutation flowshop scheduling problem (DPFSP) has attracted much
attention in recent years. In this paper, we extend the DPFSP by considering the sequence …
attention in recent years. In this paper, we extend the DPFSP by considering the sequence …
Towards metaheuristic scheduling techniques in cloud and fog: an extensive taxonomic review
Task scheduling is a critical issue in distributed computing environments like cloud and fog.
The objective is to provide an optimal distribution of tasks among the resources. Several …
The objective is to provide an optimal distribution of tasks among the resources. Several …