:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhang, Xinyu, Antunes, Mário, Estro, Tyler, Zadok, Erez, Mueller, Klaus
Format:	Preprint
Published:	2025
Subjects:	Neural and Evolutionary Computing
Online Access:	https://arxiv.org/abs/2505.05661
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Into the Void: Mapping the Unseen Gaps in High Dimensional Data
by: Zhang, Xinyu, et al.
Published: (2025)

Cooperative Coevolution for Non-Separable Large-Scale Black-Box Optimization: Convergence Analyses and Distributed Accelerations
by: Duan, Qiqi, et al.
Published: (2023)

Warm Starting of CMA-ES for Contextual Optimization Problems
by: Sekino, Yuta, et al.
Published: (2025)

MRSO: Balancing Exploration and Exploitation through Modified Rat Swarm Optimization for Global Optimization
by: Abdulla, Hemin Sardar, et al.
Published: (2024)

Accelerating evolutionary exploration through language model-based transfer learning
by: Reissmann, Maximilian, et al.
Published: (2024)

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation
by: Luo, Liu-Yue, et al.
Published: (2025)

Adaptive Exploration in Lenia with Intrinsic Multi-Objective Ranking
by: Lorantos, Niko, et al.
Published: (2025)

Smart Cellular Bricks for Decentralized Shape Classification and Damage Recovery
by: Moreno, Rodrigo, et al.
Published: (2025)

Self-Replicating and Self-Employed Smart Contract on Ethereum Blockchain
by: Masumori, Atsushi, et al.
Published: (2024)

CogniSNN: An Exploration to Random Graph Architecture based Spiking Neural Networks with Enhanced Depth-Scalability and Path-Plasticity
by: Huang, Yongsheng, et al.
Published: (2025)

Fast Exploration of the Impact of Precision Reduction on Spiking Neural Networks
by: Saeedi, Sepide, et al.
Published: (2022)

Flexi-NeurA: A Configurable Neuromorphic Accelerator with Adaptive Bit-Precision Exploration for Edge SNNs
by: Farahani, Mohammad, et al.
Published: (2026)

GPU-Accelerated Rule Evaluation and Evolution
by: Shahrzad, Hormoz, et al.
Published: (2024)

Bio-Inspired Neuron Synapse Optimization for Adaptive Learning and Smart Decision-Making
by: Singh, Sreeja, et al.
Published: (2025)

Exploration-Exploitation-Evaluation (EEE): A Framework for Metaheuristic Algorithms in Combinatorial Optimization
by: Davis, Ethan
Published: (2025)

Tensorized Ant Colony Optimization for GPU Acceleration
by: Yang, Luming, et al.
Published: (2024)

An Asynchronous Multi-core Accelerator for SNN inference
by: Chen, Zhuo, et al.
Published: (2024)

Evolutionary Mapping of Neural Networks to Spatial Accelerators
by: Pierro, Alessandro, et al.
Published: (2026)

Bayesian Inference Accelerator for Spiking Neural Networks
by: Katti, Prabodh, et al.
Published: (2024)

Exploration of Pareto-preserving Search Space Transformations in Multi-objective Test Functions
by: Vermetten, Diederick, et al.
Published: (2026)

Evolutionary Warm-Starts for Reinforcement Learning in Industrial Continuous Control
by: Maus, Tom, et al.
Published: (2026)

Smart Routing for EV Charge Point Operators in Mega Cities: Case Study of Istanbul
by: Yenigun, Onur, et al.
Published: (2025)

Smart Buildings Energy Consumption Forecasting using Adaptive Evolutionary Ensemble Learning Models
by: Neshat, Mehdi, et al.
Published: (2025)

Improving CMA-ES Convergence Speed, Efficiency, and Reliability in Noisy Robot Optimization Problems
by: Martin, Russell M., et al.
Published: (2026)

A Detection Region Method-Based Evolutionary Algorithm for Binary Constrained Multiobjective Optimization
by: Huang, Weixiong, et al.
Published: (2024)

Enhancing Mass Customization Manufacturing: Multiobjective Metaheuristic Algorithms for flow shop Production in Smart Industry
by: Rossit, Diego, et al.
Published: (2024)

Tensorized NeuroEvolution of Augmenting Topologies for GPU Acceleration
by: Wang, Lishuang, et al.
Published: (2024)

Matrix Domination: Convergence of a Genetic Algorithm Metaheuristic with the Wisdom of Crowds to Solve the NP-Complete Problem
by: Strachan, Shane Storm
Published: (2023)

Bridging Evolutionary Multiobjective Optimization and GPU Acceleration via Tensorization
by: Liang, Zhenyu, et al.
Published: (2025)

GPU-Accelerated Genetic Programming for Symbolic Regression with Beagle Framework
by: Haut, Nathan, et al.
Published: (2026)

Phylogeny-Informed Interaction Estimation Accelerates Co-Evolutionary Learning
by: Garbus, Jack, et al.
Published: (2024)

Evolutionary Discovery of Sequence Acceleration Methods for Slab Geometry Neutron Transport
by: Patel, Japan K., et al.
Published: (2025)

Discrete Gene Crossover Accelerates Solution Discovery in Quality-Diversity Algorithms
by: Hutchinson, Joshua, et al.
Published: (2026)

CUDA-Accelerated Soft Robot Neural Evolution with Large Language Model Supervision
by: Zhang, Lechen
Published: (2024)

CaRe-BN: Precise Moving Statistics for Stabilizing Spiking Neural Networks in Reinforcement Learning
by: Xu, Zijie, et al.
Published: (2025)

Automatic programming via large language models with population self-evolution for dynamic job shop scheduling problem
by: Huang, Jin, et al.
Published: (2024)

The Iterative Chainlet Partitioning Algorithm for the Traveling Salesman Problem with Drone and Neural Acceleration
by: Lee, Jae Hyeok, et al.
Published: (2025)

Plug-and-Play Homeostatic Spark: Zero-Cost Acceleration for SNN Training Across Paradigms
by: Chen, Rui, et al.
Published: (2025)

Accelerating Black-Box Bilevel Optimization with Rank-Based Upper-Level Value Function Approximation
by: Ong, Marc, et al.
Published: (2026)

Regionalized Metric Framework: A Novel Approach for Evaluating Multimodal Multi-Objective Optimization Algorithms
by: Chen, Jintai, et al.
Published: (2025)