Search Results - "Neural and Evolutionary Computing (cs.NE)"

A third-order finite difference weighted essentially non-oscillatory scheme with shallow neural network

Authors: Kwanghyuk Park Xinjuan Chen Dongjin Lee et al.

Source: Applied Numerical Mathematics. 218:1-21

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, FOS: Mathematics, Computer Science - Neural and Evolutionary Computing, Mathematics - Numerical Analysis, Numerical Analysis (math.NA), Neural and Evolutionary Computing (cs.NE), Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2407.06333

Automatic Implementation of Neural Networks Through Reaction Networks—Part I: Circuit Design and Convergence Analysis

Authors: Yuzhen Fan Xiaoyu Zhang Chuanhou Gao et al.

Source: IEEE Transactions on Automatic Control. 70:6356-6371

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, FOS: Mathematics, Computer Science - Neural and Evolutionary Computing, Dynamical Systems (math.DS), Neural and Evolutionary Computing (cs.NE), Mathematics - Dynamical Systems, Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2311.18313

AutoOpt: A General Framework for Automatically Designing Metaheuristic Optimization Algorithms With Diverse Structures

Authors: Qi Zhao Bai Yan Taiwei Hu et al.

Source: IEEE Transactions on Emerging Topics in Computational Intelligence. 9:3690-3703

Subject Terms: FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Computer Science - Neural and Evolutionary Computing, 02 engineering and technology, Neural and Evolutionary Computing (cs.NE)

Access URL: http://arxiv.org/abs/2204.00998

Physics Informed Neural Network—Estimated Circuit Parameter Adaptive Modulation of DAB

Authors: Saikat Dey Ayan Mallik

Source: IEEE Transactions on Power Electronics. 40:14821-14841

Subject Terms: Signal Processing (eess.SP), FOS: Computer and information sciences, FOS: Electrical engineering, electronic engineering, information engineering, Computer Science - Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE), Systems and Control (eess.SY), Electrical Engineering and Systems Science - Signal Processing, Electrical Engineering and Systems Science - Systems and Control

Access URL: http://arxiv.org/abs/2502.17452

Enhancing Parameter Control Policies with State Information

Authors: Gianluca Covini Denis Antipov Carola Doerr et al.

Contributors: Gianluca Covini Denis Antipov Carola Doerr et al.

Source: Proceedings of the 18th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. :37-48

Subject Terms: FOS: Computer and information sciences, evolutionary computation, Parameter control, local search, algorithm configuration, Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE), [INFO] Computer Science [cs], black-box optimization

File Description: application/pdf

Access URL: http://arxiv.org/abs/2507.08368
https://hal.sorbonne-universite.fr/hal-05157741v1/document
https://doi.org/10.1145/3729878.3746633
https://hal.sorbonne-universite.fr/hal-05157741v1

Multi-parameter Control for the (1+(λ, λ))-GA on OneMax via Deep Reinforcement Learning

Authors: Tai Nguyen Phong Le Carola Doerr et al.

Contributors: Tai Nguyen Phong Le Carola Doerr et al.

Source: Proceedings of the 18th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. :190-201

Subject Terms: Machine Learning, FOS: Computer and information sciences, Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE), [INFO] Computer Science [cs], Machine Learning (cs.LG)

File Description: application/pdf

Access URL: http://arxiv.org/abs/2505.12982

LightSNN: Lightweight Architecture Search for Sparse and Accurate Spiking Neural Networks

Authors: Abdennadher, Yesmine Perin, Giovanni Mazzieri, Riccardo et al.

Source: IEEE International Conference on Advanced Machine Learning and Data Science (AMLDS)

Subject Terms: Signal Processing (eess.SP), FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, FOS: Electrical engineering, electronic engineering, information engineering, Computer Science - Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE), Electrical Engineering and Systems Science - Signal Processing

Access URL: http://arxiv.org/abs/2503.21846

The Pitfalls and Potentials of Adding Gene-invariance to Optimal Mixing

Authors: Anton Bouter Dirk Thierens Peter A. N. Bosman

Source: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :1918-1926

Subject Terms: FOS: Computer and information sciences, Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE)

Access URL: http://arxiv.org/abs/2506.15222

Cascading CMA-ES Instances for Generating Input-diverse Solution Batches

Authors: Maria Laura Santoni Christoph Dürr Carola Doerr et al.

Contributors: Maria Laura Santoni Christoph Dürr Carola Doerr et al.

Source: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :1900-1908

Subject Terms: Multi-modal Optimization, FOS: Computer and information sciences, Diversity, Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE), [INFO] Computer Science [cs], Evolutionary Computation

File Description: application/pdf

Access URL: http://arxiv.org/abs/2502.13730
https://hal.science/hal-05171403v1/document
https://doi.org/10.1145/3712255.3734304
https://hal.science/hal-05171403v1

On the Importance of Reward Design in Reinforcement Learning-based Dynamic Algorithm Configuration: A Case Study on OneMax with (1+(λ,λ))-GA

Authors: Nguyen, Tai Le, Phong Biedenkapp, André et al.

Contributors: Nguyen, Tai Le, Phong Biedenkapp, André et al.

Source: Proceedings of the Genetic and Evolutionary Computation Conference. :1162-1171

Subject Terms: Machine Learning, FOS: Computer and information sciences, Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE), [INFO] Computer Science [cs], Machine Learning (cs.LG)

File Description: application/pdf

Access URL: http://arxiv.org/abs/2502.20265
https://hal.science/hal-05171390v1/document
https://doi.org/10.1145/3712256.3726395
https://hal.science/hal-05171390v1

Interpretable Non-linear Survival Analysis with Evolutionary Symbolic Regression

Authors: Luigi Rovito Marco Virgolin Rovito, Luigi et al.

Contributors: Luigi Rovito Marco Virgolin Rovito, Luigi et al.

Source: Proceedings of the Genetic and Evolutionary Computation Conference. :453-462

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Symbolic Regression, Computer Science - Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE), Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2504.05756
https://hdl.handle.net/11368/3113341

Extract-QD Framework: A Generic Approach for Quality-Diversity in Noisy, Stochastic or Uncertain Domains

Authors: Flageat, Manon Huber, Johann Helenon, François et al.

Contributors: Flageat, Manon Huber, Johann Helenon, François et al.

Source: Proceedings of the Genetic and Evolutionary Computation Conference. :140-148

Subject Terms: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], FOS: Computer and information sciences, Computer Science - Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE)

Access URL: http://arxiv.org/abs/2502.06585
https://hal.science/hal-05313280v1
https://doi.org/10.1145/3712256.3726404

An orthogonal data-driven Neural Network observer for simultaneous state and unknown input estimation for Linear systems

Authors: Jaber, Lara Ichalal, Dalil Aït Oufroukh, Naïma et al.

Contributors: Jaber, Lara Ichalal, Dalil Aït Oufroukh, Naïma et al.

Source: 2025 American Control Conference (ACC). :2483-2489

Subject Terms: [SPI.AUTO] Engineering Sciences [physics]/Automatic, SISO, Numerical stability, Linear matrix inequalities, [INFO.INFO-NE] Computer Science [cs]/Neural and Evolutionary Computing [cs.NE], Heuristic algorithms, Training, Linear systems, Observers, Estimation, Neural networks, Impedance matching

Activation degree thresholds and expressiveness of polynomial neural networks

Authors: Finkel, Bella Rodriguez, Jose Israel Wu, Chenxi et al.

Source: Algebraic Statistics. 16:113-130

Subject Terms: Machine Learning, FOS: Computer and information sciences, FOS: Mathematics, Neural and Evolutionary Computing, Machine Learning (stat.ML), Neural and Evolutionary Computing (cs.NE), Algebraic Geometry, Algebraic Geometry (math.AG), Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2408.04569

Sequential Learning in the Dense Associative Memory

Authors: McAlister, Hayden Robins, Anthony Szymanski, Lech

Source: Neural Computation. 37:1877-1924

Subject Terms: FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computer Science - Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE)

Access URL: http://arxiv.org/abs/2409.15729

Structured and Balanced Multicomponent and Multilayer Neural Networks

Authors: Shijun Zhang Hongkai Zhao Yimin Zhong et al.

Source: SIAM Journal on Scientific Computing. 47:C1059-C1090

Subject Terms: Machine Learning, FOS: Computer and information sciences, Numerical Analysis, FOS: Mathematics, Neural and Evolutionary Computing, Machine Learning (stat.ML), Numerical Analysis (math.NA), Neural and Evolutionary Computing (cs.NE), Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2407.00765

Neuromorphic Circuit for Temporal Odor Encoding in Turbulent Environments

Authors: Shavika Rastogi Nik Dennler Michael Schmuker et al.

Source: IEEE Sensors Journal. 25:35622-35630

Subject Terms: FOS: Computer and information sciences, Computer Science - Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE)

Access URL: http://arxiv.org/abs/2412.20117

A census-based genetic algorithm for target set selection problem in social networks

Authors: Md. Samiur Rahman Mohammad Shamim Ahsan Cheng-Wu Chen et al.

Source: Neural Computing and Applications. 37:23155-23183

Subject Terms: Social and Information Networks (cs.SI), FOS: Computer and information sciences, Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE), Social and Information Networks

Access URL: http://arxiv.org/abs/2410.02011

Strong Anti-Hebbian Plasticity Alters the Convexity of Network Attractor Landscapes

Authors: Lulu Gong Xudong Chen ShiNung Ching

Source: IEEE Transactions on Neural Networks and Learning Systems. 36:17491-17498

Subject Terms: FOS: Computer and information sciences, Quantitative Biology - Neurons and Cognition, FOS: Biological sciences, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Computer Science - Neural and Evolutionary Computing, Neurons and Cognition (q-bio.NC), Neural and Evolutionary Computing (cs.NE), Systems and Control (eess.SY), Dynamical Systems (math.DS), Mathematics - Dynamical Systems, Electrical Engineering and Systems Science - Systems and Control

Access URL: https://pubmed.ncbi.nlm.nih.gov/40305254
http://arxiv.org/abs/2312.14896

Learning Self-Growth Maps for Fast and Accurate Imbalanced Streaming Data Clustering

Authors: Yiqun Zhang Sen Feng Pengkai Wang et al.

Source: IEEE Transactions on Neural Networks and Learning Systems. 36:16049-16061

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE), Machine Learning (cs.LG)

Access URL: https://pubmed.ncbi.nlm.nih.gov/40392647
http://arxiv.org/abs/2404.09243