This paper provides the first runtime analysis of Cartesian Genetic Programming (CGP) in evolving Boolean functions, establishing bounds of O(nD^5) for conjunctions and exponential time for XOR, highlighting the impact of selection strategies.

Duc-Cuong Dang, Roman Kalkreuth, Andre Opris

Proposes IG-DOE, a large language model-assisted cooperative operator ensemble evolution algorithm, integrating multi-operator switching to significantly improve permutation flow shop scheduling performance.

Rui Xu, Yufan Liao, Haoze Lv et al.

MeEvo combines natural evolution and metacognitive reflection through cyclic alternation, significantly improving search stability and solution quality on complex optimization tasks.

Zishang Qiu, Xinan Chen, Rong Qu et al.

Proposes a co-evolutionary SNN ensemble framework based on marginal contribution fitness, significantly improving multi-task performance.

Catherine Rodriquez, James Ghawaly

SES framework optimizes symbolic solutions directly from equations without training data, successfully recovering algebraic and differential equations' explicit expressions.

Sergei Garmaev, Vinay Sharma, Olga Fink

Proposes Hub-Aware hybrid search combining pre-processing and likelihood-pheromone guidance to enhance cosmic web filament detection efficiency.

Simone Vilardi, Reynier Peletier, Felipe Contreras et al.

This paper introduces GP-RV-GOMEA, a hybrid model-based evolutionary algorithm that simultaneously optimizes symbolic expression structures and real-valued constants, achieving significant accuracy improvements.

Johannes Koch, Tanja Alderliesten, Peter A. N. Bosman

Memristor-based analog SNN accelerator reduces energy consumption by 12.7× and delay by 1.26×, enabling real-time edge intelligence for bio-inspired interception tasks.

Qianhou Qu, Sheng Lu, Liuting Shang et al.

Introduces a multi-solution optimization framework for the Linear Ordering Problem (LOP) based on recent economic data, leveraging advanced metaheuristics to enhance solution diversity and quality.

Fabrizio Fagiolo, Marco Baioletti, Valentino Santucci

Proposed Quantum Genetic Negative Selection Algorithm (QGNSA) achieves superior anomaly detection accuracy on Metaverse Financial Transactions Dataset.

Giancarlo P. Gamberi, Calebe P. Bianchini

Study shows architecture choice crucial for symbolic regression target recovery using EML operator.

Chakshu Gupta

The Structure-Guided Diffusion Model (SGDM) integrates structural information to enhance EEG-based visual reconstruction fidelity.

Yongxiang Lian, Yueyang Cang, Pingge Hu et al.

Lsys encoding excels in neural network evolution, achieving a food count of 3802, surpassing Matrix encoding.

Alexander Stuy, Nodin Weddington

MARS model achieves 21x training speedup and significant performance improvement through parallelization and subtractive skip connections.

Coşku Can Horuz, Andrea Ceni, Claudio Gallicchio et al.

Similarity-based portfolio construction enhances black-box optimization via k-nearest neighbor fine-tuning.

Catalin-Viorel Dinu, Diederick Vermetten, Carola Doerr

Combining convolution and delay learning in RSNNs achieves 52x inference speedup and 99% parameter savings on audio tasks.

Lúcio Folly Sanches Zebendo, Eleonora Cicciarella, Michele Rossi

Neuromorphic parameter estimation for power converter health monitoring using spiking neural networks, achieving ~270x energy reduction.

Hyeongmeen Baik, Hamed Poursiami, Maryam Parsa et al.

Simulating mouse cortical neurogenesis generates a minimal circuit of 85 neurons, achieving over 90% accuracy on MNIST after one training epoch.

Duan Zhou

The cHM algorithm is a universal framework for continuous optimization, excelling on 28 benchmark functions.

Piotr A. Kowalski, Szymon Kucharczyk, Jacek Mańdziuk

LLMs as semantic interfaces and ethical mediators in neuro-digital ecosystems, introducing Neuro-Linguistic Integration.

Alexander V. Shenderuk-Zhidkov, Alexander E. Hramov