AI & Machine Learning · Computer Science & AI
Neural & Evolutionary Computing
The newest papers in Neural & Evolutionary Computing that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
324 papers, from 4 September 2026 to 5 November 2026: 324 arXiv preprints.
Get the few papers worth your time in Neural & Evolutionary Computing every morning.
Follow Neural & Evolutionary Computing and ReadSearch reads its new papers each day, then brings you the few worth reading, each with its key finding in a sentence.
Newest papers, page 15
Ensemble-Conditioned Molecular Design
Molecular design is typically approached as a problem of finding molecules which can adopt a single bioactive conformation.A Memristive Synapse for Online STDP Learning and Inference in SNNs
This work presents a fully analog memristive synaptic circuit for online spike-timing-dependent plasticity (STDP) learning in spiking neural networks (SNNs).Big Brains and Changing Environments: Cause or Consequence?
Large brains are metabolically costly, and associations with changing environments do not imply they evolved there, as the Cognitive Buffer Hypothesis (CBH) would suggest.Complete Suffix Prediction for Recommendation via Latent Retrieval over Process Graphs
Complete suffix prediction is challenging in sequential decision settings, where the same prefix can remain compatible with several plausible suffixes.Event-Native Symbolic-Temporal Spike Encoding Framework for Heterogeneous Cyber Streams
Spiking neural networks (SNNs) have shown promise for sparse, event-driven computation through stateful processing that is naturally compatible with low-power edge hardware.HypoEvolve: Genetic Algorithms Enable Multi-Agent LLMs to Discover Scientific Hypotheses
Scientific agents contribute to hypothesis discovery by synthesizing evidence, assessing proposals, and developing new explanations.Safe Error Correction for Language Models: Frozen-Base Adjustment with Capability Preservation
We study a practical question: can a small correction module fix errors in a frozen language model's outputs without degrading its base capabilities?A neural-astrocyte architecture implements a hybrid automaton for evidence accumulation
Astrocytes are non-neuronal glial cells that are receiving widespread attention due to their emerging role in neural computation.Scaled Hippocampus-inspired Neural Networks on Neuromorphic Memristive Hardware
The hippocampus, a key brain region for learning and memory, exhibits rich structural diversity, sparse communication, and robust dynamics with incredible energy efficiency.The Cost of Becoming: Developmental Encoding Increases Phenotypic Diversity but Reduces Locality and Recombination Robustness in Evolved Robots
Developmental encodings are often motivated by the expectation that a structured genotype-to-phenotype process can improve evolvability, robustness, and adaptation.Surrogate-Assisted Genetic Programming with Phenotypic Characterisation in Dynamic Multi-Mode Project Scheduling
Dynamic multi-mode resource-constrained project scheduling requires decisions to be made under precedence constraints, limited resources, multiple execution modes, and uncertain activity durations.When is global evolutionary search useful for variational quantum algorithms? A landscape-first study
Variational quantum algorithms recast state preparation as classical nonconvex optimization, but it is often unclear when multistart local search suffices and when population-based global search…Signed Sensitivity of Expected Hitting Time to Mutation Rate in the (1+1) EA: Per-State Sign Theorems and Verifiable Certificates for Non-Lumpable Families
For the (1+1) evolutionary algorithm with standard bit mutation, we study the sensitivity of the expected hitting time $H_p=\mathbb{E}_x T$ to the mutation rate.MAAPO:an innovative membrane algorithm based on artificial protozoa optimizer for multilevel threshold image segmentation
This paper proposes a novel membrane algorithm based on artificial protozoa optimizer (MAAPO) for global optimization problems.Real-time Learning and Evolution in Robotic Art Installations
We present three robotic art installations which explore the aesthetics of adaptive behavior.nBMS, a Neuromorphic Battery Management System with a Silicon-Validated Spiking State-of-Charge Core for eVTOL Aircraft
State-of-charge (SoC) estimation for electric vertical take-off and landing (eVTOL) aircraft must run on the vehicle under hard energy and certification budgets, on a duty cycle unlike anything in…Early-Stopping Thresholds for ES-HyperNEAT: A Data-Driven Approach from Fitness Dynamics
Most hyperparameter configurations for Evolvable-Substrate HyperNEAT (ES-HyperNEAT) produce networks that stagnate at random-guessing performance, wasting computational resources.Evolutionary Ensemble Search: Council-Guided Program Evolution with Persistent Memory
Evolutionary Ensemble Search (EES) constructs machine-learning procedures through expert-guided program evolution.Phases in a class of associative memories via hidden neurons
Associative memory in the Hopfield network is attractor dynamics in a disordered many-body system, and higher-order and exponential extensions turn its retrieval update into softmax attention.Solving Few-Shot Multiobjective Multitask Optimization via Iterative Sequential Transfer
Applying knowledge transfer across multiple optimization tasks, multitask optimization (MTO) emerges as a promising approach to solving synergistic optimization tasks simultaneously.