Cover Image

Simultaneous Genetic Evolution of Neural Networks for Optimal SFC Embedding

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Krishnamohan, Theviyanthan, Thamsen, Lauritz, Harvey, Paul
Format:	Preprint
Published:	2025
Subjects:	Neural and Evolutionary Computing Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

BENNS: A Surrogate Model for Hybrid Online-Offline Evolution of SFC Embedding
by: Krishnamohan, Theviyanthan, et al.
Published: (2025)

OpenRASE: Service Function Chain Emulation
by: Krishnamohan, Theviyanthan, et al.
Published: (2025)

Evolving Efficient Genetic Encoding for Deep Spiking Neural Networks
by: Pan, Wenxuan, et al.
Published: (2024)

GEAR: Genetic AutoResearch for Agentic Code Evolution
by: Jeddi, Ahmadreza, et al.
Published: (2026)

Improving Air Mobility for Pre-Disaster Planning with Neural Network Accelerated Genetic Algorithm
by: Acharya, Kamal, et al.
Published: (2024)

Dual-Individual Genetic Algorithm: A Dual-Individual Approach for Efficient Training of Multi-Layer Neural Networks
by: Truong, Tran Thuy Nga, et al.
Published: (2025)

An Evolutional Neural Network Framework for Classification of Microarray Data
by: Evari, Maryam Eshraghi, et al.
Published: (2024)

Energy Costs and Neural Complexity Evolution in Changing Environments
by: Heesom-Green, Sian, et al.
Published: (2025)

Input-Triggered Hardware Trojan Attack on Spiking Neural Networks
by: Raptis, Spyridon, et al.
Published: (2025)

PyVRP$^+$: LLM-Driven Metacognitive Heuristic Evolution for Hybrid Genetic Search in Vehicle Routing Problems
by: Malik, Manuj, et al.
Published: (2026)

Efficient Disruption of Criminal Networks through Multi-Objective Genetic Algorithms
by: Darmadi, Yehezkiel, et al.
Published: (2026)

A Genetic Algorithm for Multi-Capacity Fixed-Charge Flow Network Design
by: Eardley, Caleb, et al.
Published: (2024)

Tuning Synaptic Connections instead of Weights by Genetic Algorithm in Spiking Policy Network
by: Zhang, Duzhen, et al.
Published: (2022)

Neural Optimizer Equation, Decay Function, and Learning Rate Schedule Joint Evolution
by: Morgan, Brandon, et al.
Published: (2024)

Cartesian Genetic Programming Approach for Designing Convolutional Neural Networks
by: Krzywda, Maciej, et al.
Published: (2024)

Guiding Evolution of Artificial Life Using Vision-Language Models
by: Baid, Nikhil, et al.
Published: (2025)

An Introductory Review of Spiking Neural Network and Artificial Neural Network: From Biological Intelligence to Artificial Intelligence
by: Zheng, Shengjie, et al.
Published: (2022)

DECN: Evolution Inspired Deep Convolution Network for Black-box Optimization
by: Wu, Kai, et al.
Published: (2023)

Solving nonograms using Neural Networks
by: Rubio, José María Buades, et al.
Published: (2025)

Adaptive Reorganization of Neural Pathways for Continual Learning with Spiking Neural Networks
by: Han, Bing, et al.
Published: (2023)

Evolution and Efficiency in Neural Architecture Search: Bridging the Gap Between Expert Design and Automated Optimization
by: Meng, Fanfei, et al.
Published: (2024)

From Hand-Crafted Metrics to Evolved Training-Free Performance Predictors for Neural Architecture Search via Genetic Programming
by: Phan, Quan Minh, et al.
Published: (2025)

Adaptive Genetic Selection based Pinning Control with Asymmetric Coupling for Multi-Network Heterogeneous Vehicular Systems
by: Guo, Weian, et al.
Published: (2024)

Multi-objective Optimal Roadside Units Deployment in Urban Vehicular Networks
by: Guo, Weian, et al.
Published: (2024)

Learning with Spike Synchrony in Spiking Neural Networks
by: Tian, Yuchen, et al.
Published: (2025)

Continual Learning with Columnar Spiking Neural Networks
by: Larionov, Denis, et al.
Published: (2025)

A Survey of Recursive and Recurrent Neural Networks
by: Liu, Jian-wei, et al.
Published: (2025)

Learning Characteristics of Reverse Quaternion Neural Network
by: Yamauchi, Shogo, et al.
Published: (2024)

Web Neural Network with Complete DiGraphs
by: Li, Frank
Published: (2024)

Parallel Hyperparameter Optimization Of Spiking Neural Network
by: Firmin, Thomas, et al.
Published: (2024)

Training Neural Networks with Optimal Double-Bayesian Learning
by: Bui, Vy, et al.
Published: (2026)

Reinforced Linear Genetic Programming
by: Mukhammadnaim, Urmzd
Published: (2026)

Spiking Neural Networks: The Future of Brain-Inspired Computing
by: Aribe Jr, Sales G.
Published: (2025)

Dynamics of Structured Complex-Valued Hopfield Neural Networks
by: Garimella, Rama Murthy, et al.
Published: (2025)

Exploring the Limitations of Layer Synchronization in Spiking Neural Networks
by: Koopman, Roel, et al.
Published: (2024)

k-Winners-Take-All Ensemble Neural Network
by: Agarap, Abien Fred, et al.
Published: (2024)

Enhancing Genetic Algorithms with Graph Neural Networks: A Timetabling Case Study
by: Cornei, Laura-Maria, et al.
Published: (2026)

MetaDE: Evolving Differential Evolution by Differential Evolution
by: Chen, Minyang, et al.
Published: (2025)

Temporal Regularization Training: Unleashing the Potential of Spiking Neural Networks
by: Zhang, Boxuan, et al.
Published: (2025)

TS-SNN: Temporal Shift Module for Spiking Neural Networks
by: Yu, Kairong, et al.
Published: (2025)