Cover Image

Residual Learning Inspired Crossover Operator and Strategy Enhancements for Evolutionary Multitasking

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Ruilin, Feng, Xiang, Yu, Huiqun, Lai, Edmund M-K
Format:	Preprint
Published:	2025
Subjects:	Neural and Evolutionary Computing Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Hierarchical Residuals Exploit Brain-Inspired Compositionality
by: López, Francisco M., et al.
Published: (2025)

Guiding Evolutionary AutoEncoder Training with Activation-Based Pruning Operators
by: Jorgensen, Steven, et al.
Published: (2025)

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

Evolutionary Preference Sampling for Pareto Set Learning
by: Ye, Rongguang, et al.
Published: (2024)

Parent Selection Mechanisms in Elitist Crossover-Based Algorithms
by: Opris, Andre, et al.
Published: (2026)

Online Operator Design in Evolutionary Optimization for Flexible Job Shop Scheduling via Large Language Models
by: Liao, Rongjie, et al.
Published: (2025)

Clustering-based Transfer Learning for Dynamic Multimodal MultiObjective Evolutionary Algorithm
by: Yan, Li, et al.
Published: (2025)

Evolutionary Neural Architecture Search with Dual Contrastive Learning
by: Zhang, Xian-Rong, et al.
Published: (2025)

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

RLEMMO: Evolutionary Multimodal Optimization Assisted By Deep Reinforcement Learning
by: Lian, Hongqiao, et al.
Published: (2024)

Online Optimization of Curriculum Learning Schedules using Evolutionary Optimization
by: Jiwatode, Mohit, et al.
Published: (2024)

Deep Insights into Automated Optimization with Large Language Models and Evolutionary Algorithms
by: Yu, He, et al.
Published: (2024)

Advanced Artificial Intelligence Strategy for Optimizing Urban Rail Network Design using Nature-Inspired Algorithms
by: Kumar, Hariram Sampath, et al.
Published: (2024)

An LLM-Empowered Adaptive Evolutionary Algorithm For Multi-Component Deep Learning Systems
by: Tian, Haoxiang, et al.
Published: (2025)

Rank-Based Learning and Local Model Based Evolutionary Algorithm for High-Dimensional Expensive Multi-Objective Problems
by: Chen, Guodong, et al.
Published: (2023)

Learn from Global Correlations: Enhancing Evolutionary Algorithm via Spectral GNN
by: Ouyang, Kaichen, et al.
Published: (2024)

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

Evolution Transformer: In-Context Evolutionary Optimization
by: Lange, Robert Tjarko, et al.
Published: (2024)

R2 Indicator and Deep Reinforcement Learning Enhanced Adaptive Multi-Objective Evolutionary Algorithm
by: Tahernezhad-Javazm, Farajollah, et al.
Published: (2024)

Heuristically Adaptive Diffusion-Model Evolutionary Strategy
by: Hartl, Benedikt, et al.
Published: (2024)

Knowledge-Assisted Dual-Stage Evolutionary Optimization of Large-Scale Crude Oil Scheduling
by: Zhang, Wanting, et al.
Published: (2024)

Optimal Synthesis of Finite State Machines with Universal Gates using Evolutionary Algorithm
by: Ullah, Noor, et al.
Published: (2024)

Dynamic Weight Adaptation in Spiking Neural Networks Inspired by Biological Homeostasis
by: Zhou, Yunduo, et al.
Published: (2025)

Runtime Analysis for Permutation-based Evolutionary Algorithms
by: Doerr, Benjamin, et al.
Published: (2022)

Large Language Model-Driven Surrogate-Assisted Evolutionary Algorithm for Expensive Optimization
by: Xie, Lindong, et al.
Published: (2025)

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

Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models
by: Zhang, Rui, et al.
Published: (2024)

Meta knowledge assisted Evolutionary Neural Architecture Search
by: Li, Yangyang, et al.
Published: (2025)

Evolutionary Token-Level Prompt Optimization for Diffusion Models
by: Neto, Domício Pereira, et al.
Published: (2026)

Theoretical Analyses of Multiobjective Evolutionary Algorithms on Multimodal Objectives
by: Zheng, Weijie, et al.
Published: (2020)

Analyzing and Overcoming Local Optima in Complex Multi-Objective Optimization by Decomposition-Based Evolutionary Algorithms
by: Dong, Ting, et al.
Published: (2024)

Towards Multi-Objective High-Dimensional Feature Selection via Evolutionary Multitasking
by: Feng, Yinglan, et al.
Published: (2024)

Offline Multi-Task Multi-Objective Data-Driven Evolutionary Algorithm with Language Surrogate Model and Implicit Q-Learning
by: Zhang, Xian-Rong, et al.
Published: (2025)

Runtime Analysis of Evolutionary Diversity Optimization on the Multi-objective (LeadingOnes, TrailingZeros) Problem
by: Antipov, Denis, et al.
Published: (2024)

CDRL: A Reinforcement Learning Framework Inspired by Cerebellar Circuits and Dendritic Computational Strategies
by: Zhang, Sibo, et al.
Published: (2026)

Evolutionary Optimization Trumps Adam Optimization on Embedding Space Exploration
by: Neto, Domício Pereira, et al.
Published: (2025)

Evolutionary thoughts: integration of large language models and evolutionary algorithms
by: Yepes, Antonio Jimeno, et al.
Published: (2025)

Archive-based Single-Objective Evolutionary Algorithms for Submodular Optimization
by: Neumann, Frank, et al.
Published: (2024)

Evolutionary Rule Extraction from Corporate Default Prediction Models
by: Fabbretti, Desirè, et al.
Published: (2026)