Neural and Evolutionary Computing Papers

A Latency Coding Framework for Deep Spiking Neural Networks with Ultra-Low Latency Yi Lu, Jianhao Ding, Zhaofei Yu arxiv.org/abs/2603.23206 [𝚌𝚜.𝙽𝙴]

Hebbian Attractor Networks for Robot Locomotion Alexander Dittrich, Fuda van Diggelen, Dario Floreano arxiv.org/abs/2603.22512 [𝚌𝚜.𝙽𝙴]

Optimal Memory Encoding Through Fluctuation-Response Structure Lianxiang Cui, Kohei Nakajima, Kazuyuki Aihara arxiv.org/abs/2603.21666 [𝚌𝚜.𝙽𝙴]

Evolutionary Biparty Multiobjective UAV Path Planning: Problems and Empirical Comparisons Kesheng Chen, Wenjian Luo, Xin Lin, Zhen Song, Yatong Chang arxiv.org/abs/2603.21544 [𝚌𝚜.𝙽𝙴 𝚌𝚜.𝙰𝙸]

Elite Lanes: Evolutionary Generation of Realistic Small-Scale Road Networks Artur Morys-Magiera, Marek Długosz, Paweł Skruch arxiv.org/abs/2603.20964 [𝚌𝚜.𝙽𝙴]

MOELIGA: a multi-objective evolutionary approach for feature selection with local improvement Leandro Vignolo, Matias Gerard arxiv.org/abs/2603.20934 [𝚌𝚜.𝙽𝙴 𝚌𝚜.𝙻𝙶]

Decoupling Numerical and Structural Parameters: An Empirical Study on Adaptive Genetic Algorithms via Deep Reinforcement Learning for the Large-Scale TSP Hongyu Wang, Yuhan Jing, Yibing Shi, Enjin Zhou, Haotian Zhang, Jialong Shi arxiv.org/abs/2603.20702 [𝚌𝚜.𝙽𝙴 𝚌𝚜.𝙰𝙸]

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

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]

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

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]

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]

Towards Solving Polynomial-Objective Integer Programming with Hypergraph Neural Networks Minshuo Li, Yaoxin Wu, Pavel Troubil, Yingqian Zhang, Wim P. M. Nuijten arxiv.org/abs/2603.19318 [𝚌𝚜.𝙽𝙴 𝚌𝚜.𝙻𝙶]

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]

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]

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]

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]

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

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]