:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Pei, Jiyuan, Liu, Jialin, Mei, Yi
Format:	Preprint
Published:	2024
Subjects:	Neural and Evolutionary Computing
Online Access:	https://arxiv.org/abs/2404.10252
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

BENNS: A Surrogate Model for Hybrid Online-Offline Evolution of SFC Embedding
by: Krishnamohan, Theviyanthan, et al.
Published: (2025)

Biologically Inspired Spiking Diffusion Model with Adaptive Lateral Selection Mechanism
by: Feng, Linghao, et al.
Published: (2025)

Improving Critical Node Detection Using Neural Network-based Initialization in a Genetic Algorithm
by: Liu, Chanjuan, et al.
Published: (2024)

A Universal Flexible Neuromorphic Tactile System with Multithreshold Strategy
by: Liu, Jialin, et al.
Published: (2024)

Robust Dynamic Material Handling via Adaptive Constrained Evolutionary Reinforcement Learning
by: Hu, Chengpeng, et al.
Published: (2025)

A Novel Population Initialization Method via Adaptive Experience Transfer for General-Purpose Binary Evolutionary Optimization
by: Wang, Zhiyuan, et al.
Published: (2025)

Evolutionary Reinforcement Learning via Cooperative Coevolution
by: Hu, Chengpeng, et al.
Published: (2024)

Curriculum Learning in Genetic Programming Guided Local Search for Large-scale Vehicle Routing Problems
by: Liu, Saining, et al.
Published: (2025)

Constrained Hybrid Metaheuristic: A Universal Framework for Continuous Optimisation
by: Kowalski, Piotr A., et al.
Published: (2026)

Learning the Plasticity: Plasticity-Driven Learning Framework in Spiking Neural Networks
by: Shen, Guobin, et al.
Published: (2023)

A Hybrid Tabu Scatter Search Algorithm for Simulation-Based Optimization of Multi-Objective Runway Operations Scheduling
by: Soykan, Bulent
Published: (2025)

Uncertainty-Aware Offline Data-Driven Multi-Objective Optimization
by: Lyu, Huanbo, et al.
Published: (2025)

Learning-Assisted Multi-Operator Variable Neighborhood Search for Urban Cable Routing
by: Liu, Wei, et al.
Published: (2025)

Reference Vector Adaptation and Mating Selection Strategy via Adaptive Resonance Theory-based Clustering for Many-objective Optimization
by: Kinoshita, Takato, et al.
Published: (2022)

Bridging Fitness With Search Spaces By Fitness Supremums: A Theoretical Study on LGP
by: Huang, Zhixing, et al.
Published: (2025)

Rethinking SNN Online Training and Deployment: Gradient-Coherent Learning via Hybrid-Driven LIF Model
by: Hao, Zecheng, et al.
Published: (2024)

Hybridizing Target- and SHAP-encoded Features for Algorithm Selection in Mixed-variable Black-box Optimization
by: Dietrich, Konstantin, et al.
Published: (2024)

Efficient Online Learning for Networks of Two-Compartment Spiking Neurons
by: Yin, Yujia, et al.
Published: (2024)

Constrained Multi-objective Optimization with Deep Reinforcement Learning Assisted Operator Selection
by: Ming, Fei, et al.
Published: (2024)

Learning Traffic Signal Control via Genetic Programming
by: Liao, Xiao-Cheng, et al.
Published: (2024)

Mapping the Fitness Landscape: A Structure-Guided Approach to Multi-Modal Optimization
by: Xiang, Meng, et al.
Published: (2026)

A Latency Coding Framework for Deep Spiking Neural Networks with Ultra-Low Latency
by: Lu, Yi, et al.
Published: (2026)

Meta-Black-Box-Optimization through Offline Q-function Learning
by: Ma, Zeyuan, et al.
Published: (2025)

Deep Reinforcement Learning-Assisted Automated Operator Portfolio for Constrained Multi-objective Optimization
by: Shao, Shuai, et al.
Published: (2026)

EvoRL: A GPU-accelerated Framework for Evolutionary Reinforcement Learning
by: Zheng, Bowen, et al.
Published: (2025)

LLM-Driven Instance-Specific Heuristic Generation and Selection
by: Zhang, Shaofeng, et al.
Published: (2025)

Dynastic Potential Crossover Operator
by: Chicano, Francisco, et al.
Published: (2024)

When Switching Algorithms Helps: A Theoretical Study of Online Algorithm Selection
by: Antipov, Denis, et al.
Published: (2026)

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

Adaptive Gradient Learning for Spiking Neural Networks by Exploiting Membrane Potential Dynamics
by: Jiang, Jiaqiang, et al.
Published: (2025)

Was Tournament Selection All We Ever Needed? A Critical Reflection on Lexicase Selection
by: Geiger, Alina, et al.
Published: (2025)

Adaptive Multi-Objective Bayesian Optimization for Capacity Planning of Hybrid Heat Sources in Electric-Heat Coupling Systems of Cold Regions
by: Yang, Ruizhe, et al.
Published: (2025)

Pareto Optimization with Robust Evaluation for Noisy Subset Selection
by: Xu, Yiheng, et al.
Published: (2025)

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

MorphSNN: Adaptive Graph Diffusion and Structural Plasticity for Spiking Neural Networks
by: Huang, Yongsheng, et al.
Published: (2026)

Hybrid Memetic Search for Electric Vehicle Routing with Time Windows, Simultaneous Pickup-Delivery, and Partial Recharges
by: Zheng, Zubin, et al.
Published: (2024)

Large Language Model-Driven Full-Component Evolution of Adaptive Large Neighborhood Search
by: Yu, Shaohua, et al.
Published: (2026)

Online Training of Hopfield Networks using Predictive Coding
by: Ganjidoost, Ehsan, et al.
Published: (2024)

Generalizing and Unifying Gray-box Combinatorial Optimization Operators
by: Chicano, Francisco, et al.
Published: (2024)

Surrogate-Assisted Genetic Programming with Rank-Based Phenotypic Characterisation for Dynamic Multi-Mode Project Scheduling
by: Tian, Yuan, et al.
Published: (2026)