Cover Image

Evolutionary Automata and Deep Evolutionary Computation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Eberbach, Eugene
Format:	Preprint
Published:	2024
Subjects:	Neural and Evolutionary Computing Computation and Language 68
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Pointer Networks Trained Better via Evolutionary Algorithms
by: Zhong, Muyao, et al.
Published: (2023)

Hardest Monotone Functions for Evolutionary Algorithms
by: Kaufmann, Marc, et al.
Published: (2023)

Evolutionary Computation as Natural Generative AI
by: Shi, Yaxin, et al.
Published: (2025)

EvoPruneDeepTL: An Evolutionary Pruning Model for Transfer Learning based Deep Neural Networks
by: Poyatos, Javier, et al.
Published: (2022)

Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap
by: Wu, Xingyu, et al.
Published: (2024)

Personalized Language Models via Privacy-Preserving Evolutionary Model Merging
by: Kim, Kyuyoung, et al.
Published: (2025)

Survey of Genetic and Differential Evolutionary Algorithm Approaches to Search Documents Based On Semantic Similarity
by: Muniyappa, Chandrashekar, et al.
Published: (2025)

A Generalized Evolutionary Metaheuristic (GEM) Algorithm for Engineering Optimization
by: Yang, Xin-She
Published: (2024)

Reservoir Computing with Evolved Critical Neural Cellular Automata
by: Pontes-Filho, Sidney, et al.
Published: (2025)

What Makes an LLM a Good Optimizer? A Trajectory Analysis of LLM-Guided Evolutionary Search
by: Zhang, Xinhao, et al.
Published: (2026)

Evolutionary Optimization of Deep Learning Agents for Sparrow Mahjong
by: O'Connor, Jim, et al.
Published: (2025)

ECLIPSE: An Evolutionary Computation Library for Instrumentation Prototyping in Scientific Engineering
by: Foreback, Max, et al.
Published: (2026)

EvolKV: Evolutionary KV Cache Compression for LLM Inference
by: Yu, Bohan, et al.
Published: (2025)

Learning to Transfer for Evolutionary Multitasking
by: Wu, Sheng-Hao, et al.
Published: (2024)

Evolutionary Generative Optimization: Towards Fully Data-Driven Evolutionary Optimization via Generative Learning
by: Jiang, Tao, et al.
Published: (2025)

Compute Allocation in Evolutionary Search: From Depth-Breadth to Multi-Armed Bandits
by: Xing, Sixue, et al.
Published: (2026)

EvoX: A Distributed GPU-accelerated Framework for Scalable Evolutionary Computation
by: Huang, Beichen, et al.
Published: (2023)

Integrating Chaotic Evolutionary and Local Search Techniques in Decision Space for Enhanced Evolutionary Multi-Objective Optimization
by: Meng, Xiang
Published: (2024)

Evolutionary Multi-Objective Diversity Optimization
by: Do, Anh Viet, et al.
Published: (2024)

Evolutionary Optimization of Model Merging Recipes
by: Akiba, Takuya, et al.
Published: (2024)

Large Language Models as Evolutionary Optimizers
by: Liu, Shengcai, et al.
Published: (2023)

Analyzing the Expected Hitting Time of Evolutionary Computation-based Neural Architecture Search Algorithms
by: Lv, Zeqiong, et al.
Published: (2022)

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

Evolutionary Spiking Neural Networks: A Survey
by: Shen, Shuaijie, et al.
Published: (2024)

Optimizing Hearthstone Agents using an Evolutionary Algorithm
by: García-Sánchez, Pablo, et al.
Published: (2024)

Wasserstein Evolution : Evolutionary Optimization as Phase Transition
by: Ouyang, Kaichen, et al.
Published: (2025)

Generative Evolutionary Strategy For Black-Box Optimizations
by: Park, Changhwi
Published: (2022)

Bayesian Inverse Transfer in Evolutionary Multiobjective Optimization
by: Liu, Jiao, et al.
Published: (2023)

An Efficient Evolutionary Algorithm for Few-for-Many Optimization
by: Shang, Ke, et al.
Published: (2026)

Towards Evolutionary Optimization Using the Ising Model
by: Klüttermann, Simon
Published: (2025)

Migrant Resettlement by Evolutionary Multi-objective Optimization
by: Liu, Dan-Xuan, et al.
Published: (2023)

Runtime Analysis of Evolutionary NAS for Multiclass Classification
by: Lv, Zeqiong, et al.
Published: (2025)

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

Generalized Heavy-tailed Mutation for Evolutionary Algorithms
by: Eremeev, Anton V., et al.
Published: (2026)

A Hierarchical Importance-Guided Multi-objective Evolutionary Framework for Deep Neural Network Pruning
by: Khan, Zak, et al.
Published: (2026)

Evolvable Agents, a Fine Grained Approach for Distributed Evolutionary Computing: Walking towards the Peer-to-Peer Computing Frontiers
by: Laredo, Juan Luis Jiménez, et al.
Published: (2024)

Decomposing Evolutionary Mixture-of-LoRA Architectures: The Routing Lever, the Lifecycle Penalty, and a Substrate-Conditional Boundary
by: Kumaresan, Ramchand
Published: (2026)

Deep Learning-Based Operators for Evolutionary Algorithms
by: Shem-Tov, Eliad, et al.
Published: (2024)

Neural Cellular Automata and Deep Equilibrium Models
by: Jia, Zhibai
Published: (2025)

Auto-configuring Exploration-Exploitation Tradeoff in Evolutionary Computation via Deep Reinforcement Learning
by: Ma, Zeyuan, et al.
Published: (2024)