Neural and Evolutionary Computing arXiv

Sharpness Aware Surrogate Training for Spiking Neural Networks Maximilian Nicholson arxiv.org/abs/2603.18039 [𝚌𝚜.𝙽𝙴 𝚌𝚜.𝙻𝙶]

A Synthesizable RTL Implementation of Predictive Coding Networks Timothy Oh arxiv.org/abs/2603.18066 [𝚌𝚜.𝙽𝙴 𝚌𝚜.𝙰𝙸 𝚌𝚜.𝙰𝚁 𝚌𝚜.𝙻𝙶]

Constrained Hybrid Metaheuristic: A Universal Framework for Continuous Optimisation Piotr A. Kowalski, Szymon Kucharczyk, Jacek Mańdziuk arxiv.org/abs/2603.18295 [𝚌𝚜.𝙽𝙴]

Quadratic Surrogate Attractor for Particle Swarm Optimization Maurizio Clemente, Marcello Canova arxiv.org/abs/2603.17163 [𝚌𝚜.𝙽𝙴 𝚌𝚜.𝚂𝚈 𝚎𝚎𝚜𝚜.𝚂𝚈 𝚖𝚊𝚝𝚑.𝙾𝙲]

Large Language Models as a Semantic Interface and Ethical Mediator in Neuro-Digital Ecosystems: Conceptual Foundations and a Regulatory Imperative Alexander V. Shenderuk-Zhidkov, Alexander E. Hramov arxiv.org/abs/2603.17444 [𝚌𝚜.𝙽𝙴 𝚌𝚜.𝙲𝚈 𝚌𝚜.𝙷𝙲]

Surrogate-Assisted Genetic Programming with Rank-Based Phenotypic Characterisation for Dynamic Multi-Mode Project Scheduling Yuan Tian, Yi Mei, Mengjie Zhang arxiv.org/abs/2603.16286 [𝚌𝚜.𝙽𝙴 𝚌𝚜.𝙰𝙸]

Deep Reinforcement Learning-Assisted Automated Operator Portfolio for Constrained Multi-objective Optimization Shuai Shao, Ye Tian, Shangshang Yang, Xingyi Zhang arxiv.org/abs/2603.16401 [𝚌𝚜.𝙽𝙴]

Bullet Trains: Parallelizing Training of Temporally Precise Spiking Neural Networks Todd Morrill, Christian Pehle, Anthony Zador arxiv.org/abs/2603.13283 [𝚌𝚜.𝙽𝙴 𝚌𝚜.𝙻𝙶]

Equivalence of approximation by networks of single- and multi-spike neurons Dominik Dold, Philipp Christian Petersen arxiv.org/abs/2603.13478 [𝚌𝚜.𝙽𝙴 𝚌𝚜.𝙰𝙸 𝚌𝚜.𝙻𝙶 𝚚-𝚋𝚒𝚘.𝙽𝙲 𝚜𝚝𝚊𝚝.𝙼𝙻]

Benchmarking the Energy Cost of Assurance in Neuromorphic Edge Robotics Sylvester Kaczmarek arxiv.org/abs/2603.13880 [𝚌𝚜.𝙽𝙴 𝚌𝚜.𝙰𝚁 𝚌𝚜.𝙻𝙶 𝚌𝚜.𝚁𝙾]

MO-SAE:Multi-Objective Stacked Autoencoders Optimization for Edge Anomaly Detection Lizhao Zhang, Shengsong Kong, Tao Guo, Shaobo Li, Zhenzhou Ji arxiv.org/abs/2603.13895 [𝚌𝚜.𝙽𝙴 𝚌𝚜.𝙻𝙶]

A Theory of Appropriateness That Accounts for Norms of Rationality Joel Z. Leibo, Alexander Sasha Vezhnevets, Manfred Diaz, John P. Agapiou, William A. Cunningham, Peter Sunehag, Logan Cross, Raphael Koster, Stanley M. Bileschi, … arxiv.org/abs/2603.14050 [𝚌𝚜.𝙽𝙴]

MorphSNN: Adaptive Graph Diffusion and Structural Plasticity for Spiking Neural Networks Yongsheng Huang, Peibo Duan, Yujie Wu, Kai Sun, Zhipeng Liu, Jiaxiang Liu, Guangyu Li, Changsheng Zhang, Bin Zhang, Mingkun Xu arxiv.org/abs/2603.14285 [𝚌𝚜.𝙽𝙴]

GPU-Accelerated Genetic Programming for Symbolic Regression with Beagle Framework Nathan Haut, Ilya Basin, Marzieh Kianinejad, Ruchika Gupta, Elijah Smith, Zachary Perrico, Wolfgang Banzhaf arxiv.org/abs/2603.12292 [𝚌𝚜.𝙽𝙴]

SRAM-Based Compute-in-Memory Accelerator for Linear-decay Spiking Neural Networks Hongyang Shang, Shuai Dong, Yahan Yang, Junyi Yang, Peng Zhou, Arindam Basu arxiv.org/abs/2603.12739 [𝚌𝚜.𝙽𝙴 𝚌𝚜.𝙰𝙸 𝚌𝚜.𝙰𝚁]

Federated Few-Shot Learning on Neuromorphic Hardware: An Empirical Study Across Physical Edge Nodes Steven Motta, Gioele Nanni arxiv.org/abs/2603.13037 [𝚌𝚜.𝙽𝙴 𝚌𝚜.𝙳𝙲 𝚌𝚜.𝙻𝙶]

GeNeX: Genetic Network eXperts framework for addressing Validation Overfitting Emmanuel Pintelas, Ioannis E. Livieris arxiv.org/abs/2603.11056 [𝚌𝚜.𝙽𝙴]

Stable Spike: Dual Consistency Optimization via Bitwise AND Operations for Spiking Neural Networks Yongqi Ding, Kunshan Yang, Linze Li, Yiyang Zhang, Mengmeng Jing, Lin Zuo arxiv.org/abs/2603.11676 [𝚌𝚜.𝙽𝙴 𝚌𝚜.𝙰𝙸]

An Evolutionary Algorithm with Probabilistic Annealing for Large-scale Sparse Multi-objective Optimization Shuai Shao, Yuhao Sun, Xing Chen, Ye Tian, Guan Wang, Jin Li arxiv.org/abs/2603.11874 [𝚌𝚜.𝙽𝙴]

Intrinsic Numerical Robustness and Fault Tolerance in a Neuromorphic Algorithm for Scientific Computing Bradley H. Theilman, James B. Aimone arxiv.org/abs/2603.10246 [𝚌𝚜.𝙽𝙴 𝚌𝚜.𝙰𝙸 𝚌𝚜.𝙻𝙶 𝚌𝚜.𝙽𝙰 𝚖𝚊𝚝𝚑.𝙽𝙰]