BAS-ADAM: An ADAM based approach to improve the performance of beetle antennae search optimizer
In this paper, we propose enhancements to Beetle Antennae search (BAS) algorithm, called
BAS-ADAM, to smoothen the convergence behavior and avoid trapping in local-minima for a …
BAS-ADAM, to smoothen the convergence behavior and avoid trapping in local-minima for a …
Surrogate-assisted multipopulation particle swarm optimizer for high-dimensional expensive optimization
Surrogate-assisted evolutionary algorithms (SAEAs) are well suited for computationally
expensive optimization. However, most existing SAEAs only focus on low-or medium …
expensive optimization. However, most existing SAEAs only focus on low-or medium …
Metaverses-based parallel oil fields in CPSS: A framework and methodology
Aiming to provide a novel paradigm of oil fields, metaverses-based parallel oil fields are
proposed in this article. Compared with the existing smart/intelligent oil fields in cyber …
proposed in this article. Compared with the existing smart/intelligent oil fields in cyber …
Dynamic virtual network embedding algorithm based on graph convolution neural network and reinforcement learning
Network virtualization (NV) is a technology with broad application prospects. Virtual network
embedding (VNE) is the core orientation of VN, which aims to provide more flexible …
embedding (VNE) is the core orientation of VN, which aims to provide more flexible …
An adaptive stochastic dominant learning swarm optimizer for high-dimensional optimization
High-dimensional problems are ubiquitous in many fields, yet still remain challenging to be
solved. To tackle such problems with high effectiveness and efficiency, this article proposes …
solved. To tackle such problems with high effectiveness and efficiency, this article proposes …
AI-Empowered Virtual Network Embedding: A Comprehensive Survey
For the challenges posed by Internet rigidity, network virtualization (NV) technology emerges
as a pivotal approach, imparting diversity, resilience, and scalability to the evolution of new …
as a pivotal approach, imparting diversity, resilience, and scalability to the evolution of new …
VirtualClassroom: A lecturer-centered consumer-grade immersive teaching system in cyber–physical–social space
Lecturers, as the guidance of the classroom, play a significant role in the teaching process.
However, the lecturers' sense of space immersion has been ignored in current virtual …
However, the lecturers' sense of space immersion has been ignored in current virtual …
Novel leader–follower-based particle swarm optimizer inspired by multiagent systems: Algorithm, experiments, and applications
In this article, as inspired by multiagent systems, a novel leader–follower-based particle
swarm optimization (LFPSO) algorithm is presented where the particles are classified into …
swarm optimization (LFPSO) algorithm is presented where the particles are classified into …
Reinforcement learning-based slice isolation against ddos attacks in beyond 5g networks
Network slicing in 5G networks can be modeled as a Virtual Network Embedding (VNE)
problem, wherein the slice requests must be efficiently mapped on the core network. This …
problem, wherein the slice requests must be efficiently mapped on the core network. This …
Adaptive particle swarm optimizer combining hierarchical learning with variable population
H Liu, J Zhang, MC Zhou - IEEE Transactions on Systems, Man …, 2022 - ieeexplore.ieee.org
Particle swarm optimizer (PSO) is an optimization technique that has been applied to solve
various problems. In its variants, hierarchical learning and variable population are two …
various problems. In its variants, hierarchical learning and variable population are two …