A survey of multiobjective evolutionary algorithms based on decomposition: Variants, challenges and future directions
Q Xu, Z Xu, T Ma - IEEE Access, 2020 - ieeexplore.ieee.org
There are many challengeable multiobjective optimization problems in different areas,
whose optimization objectives are usually diversionary. Decomposition methods and …
whose optimization objectives are usually diversionary. Decomposition methods and …
A novel dual prediction scheme for data communication reduction in IoT-based monitoring systems
Internet of things (IoT) based monitoring systems became commonplace. These systems are
built upon a large number of devices and sensors. The data collection task of a large …
built upon a large number of devices and sensors. The data collection task of a large …
Machine learning and deep learning for predicting indoor and outdoor IoT temperature monitoring systems
Nowadays, IoT monitoring systems are ubiquitous. These systems utilized sensors to
measure the temperature indoors or outdoor. These sensors can be temporarily unavailable …
measure the temperature indoors or outdoor. These sensors can be temporarily unavailable …
[PDF][PDF] Resource Allocation for Service Chaining in Multi-layer Edge-Cloud Networks
Y Bi - 2022 - research-information.bris.ac.uk
Architectural innovation is one of the leading development directions of the telecommuni-
cation network. It overcomes barriers left by the traditional network, such as inefficient …
cation network. It overcomes barriers left by the traditional network, such as inefficient …