Neural and Evolutionary Computing Papers

New Neural and Evolutionary Computing papers from neural networks, connectionism. Thank you to arXiv for use of its open access interoperability.

[Neural and Evolutionary Computing Papers @TAL]

The Sparsity Ceiling: Where Spiking Networks Can and Cannot Trade Activity for Energy

Zeyu Wang
https://t.co/CUV6ZvuomM [𝚌𝚜.𝙽𝙴 𝚌𝚜.𝙻𝙶]
💬Code: https://t.co/OmknAjg4oZ

[Neural and Evolutionary Computing Papers @TAL]

Shared Symbolic Backbones for Physically Consistent Multi-Output Symbolic Regression

Manuel Rodriguez
https://t.co/tNiZE1LsUL [𝚌𝚜.𝙽𝙴 𝚌𝚜.𝙰𝙸 𝚌𝚜.𝙲𝙴]

[Neural and Evolutionary Computing Papers @TAL]

Reconstructing Backpropagation from Forward Fluctuations in Noise-modulated Neural Networks

Shuhei Ikemoto
https://t.co/MgZb0gWSIQ [𝚌𝚜.𝙽𝙴]

[Neural and Evolutionary Computing Papers @TAL]

Fourier Feature Physics-Informed Neural Networks for Elasto-Plastic Analysis of Geomaterials with a Non-Associative Mohr-Coulomb Model

Apisit Robjanghvad, Sompote Youwai
https://t.co/ijQYH0bLyd [𝚌𝚜.𝙽𝙴]

[Neural and Evolutionary Computing Papers @TAL]

Limbomorphs

Alex Alvarez, Michael Levin
https://t.co/NbtVyMK0TH [𝚌𝚜.𝙽𝙴 𝚌𝚜.𝙰𝙸]

[Neural and Evolutionary Computing Papers @TAL]

Provable Speedups From Dynamic Population Sizes in Evolutionary Algorithms for Multiobjective Optimization

Andre Opris
https://t.co/e2a9DlURsz [𝚌𝚜.𝙽𝙴]

[Neural and Evolutionary Computing Papers @TAL]

Benchmarking Zero-Shot LLM-Generated Parent Selection in Genetic Programming for Symbolic Regression

Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
https://t.co/d1U5uZZC1g [𝚌𝚜.𝙽𝙴]
💬Accepted at PPSN 2026

[Neural and Evolutionary Computing Papers @TAL]

Constraint-Bound Agnostic Bayesian Optimization: One Model for All Thresholds

Jin Wang, Xi Lin, Handing Wang
https://t.co/F4Ut1pSNll [𝚌𝚜.𝙽𝙴 𝚌𝚜.𝙰𝙸 𝚌𝚜.𝙻𝙶]

[Neural and Evolutionary Computing Papers @TAL]

A genetic algorithm for student academic resource allocation

Ana F. Hernández, Andrej Franulic, Fernando Jiménez
https://t.co/LzKwEOflbO [𝚌𝚜.𝙽𝙴]

[Neural and Evolutionary Computing Papers @TAL]

Sensitivity of hMPA to Controlled CEC 2017 Transformations

Grzegorz Sroka, Sławomir T. Wierzchoń
https://t.co/Km50WRyLRK [𝚌𝚜.𝙽𝙴]

[Neural and Evolutionary Computing Papers @TAL]

On the Runtime Analysis of Reinforcement Learning Hyper-Heuristics

Pietro S. Oliveto, Zhenyu Wang, Peizhou Wu, Mengqing Xu
https://t.co/YyycIO0BDO [𝚌𝚜.𝙽𝙴]
💬Published in PPSN 2026

[Neural and Evolutionary Computing Papers @TAL]

Genesis: An Empirical Platform for Studying Open-Ended Evolution Without Fitness Functions

Anushka Sharma
https://t.co/TI81NQOq01 [𝚌𝚜.𝙽𝙴]

[Neural and Evolutionary Computing Papers @TAL]

Evolving Self-Organising Agents Without Fitness: Three Falsifiable Experiments from Constraint-Driven Selection to Developmental Encoding

Anushka Sharma
https://t.co/iUV7i8BVGv [𝚌𝚜.𝙽𝙴]

[Neural and Evolutionary Computing Papers @TAL]

Search Hardness-Aware LLM-Based Problem Formulation for Expensive Simulation-Driven Design

Yuchen Li, Handing Wang, Bing Xue, Mengjie Zhang
https://t.co/W29navTjRU [𝚌𝚜.𝙽𝙴]

[Neural and Evolutionary Computing Papers @TAL]

SpikingMOT: A Spike-Driven Multi-Object Tracker

Yiding Sun, Xiangyang Yang, Dongxu Zhang, Qirui Wang, Zijie Xu, Wenxuan Liu, Shuiwang Li, Jihua Zhu, Zhaofei Yu, Tiejun Huang
https://t.co/7OOPdpBxRK [𝚌𝚜.𝙽𝙴]

[Neural and Evolutionary Computing Papers @TAL]

Spiking Neural Networks for fMRI-Based Visual Semantic Decoding

Jiahong Zhang, Jinning Zhao, Sijun Shen, Siyuan Xu, Bo Xu, Guoqi Li
https://t.co/LmkQXoxk1q [𝚌𝚜.𝙽𝙴]

[Neural and Evolutionary Computing Papers @TAL]

Organization of computation in reservoir computing

Mohab Abdalla, Damien Rontani
https://t.co/dPt1bcIn8H [𝚌𝚜.𝙽𝙴 𝚌𝚜.𝙻𝙶]

[Neural and Evolutionary Computing Papers @TAL]

Hybrid Augmented Lagrangian Method for General Constrained Optimization via Evolutionary Algorithms

Lampros Printzios, Konstantinos Chatzilygeroudis
https://t.co/cleQbufwdE [𝚌𝚜.𝙽𝙴]

[Neural and Evolutionary Computing Papers @TAL]

Decision Variable Analysis-Guided Differentiated Fuzzy Search for Large-Scale Multi-Objective Optimization

Boxi Xiao, Hui Bai, Jinhua Zheng, Yu Li, Juan Zou
https://t.co/50RUwjrvX3 [𝚌𝚜.𝙽𝙴]
💬Submitted to IEEE Transactions on Emerging Topics in Computational Intelligence

[Neural and Evolutionary Computing Papers @TAL]

How to Build Marcus's Algebraic Mind: From Minsky's Emotion-Machine Viewpoint

Hiroyuki Chuma, Kanji Otsuka, Yoichi Sato
https://t.co/WdlcNL5eaX [𝚌𝚜.𝙽𝙴]