Cover Image

When to Truncate the Archive? On the Effect of the Truncation Frequency in Multi-Objective Optimisation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cui, Zhiji, Liang, Zimin, Pang, Lie Meng, Ishibuchi, Hisao, Li, Miqing
Format:	Preprint
Published:	2025
Subjects:	Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Large Language Model-Based Benchmarking Experiment Settings for Evolutionary Multi-Objective Optimization
by: Pang, Lie Meng, et al.
Published: (2025)

Optimal Distribution of Solutions for Crowding Distance on Linear Pareto Fronts of Two-Objective Optimization Problems
by: Ishibuchi, Hisao, et al.
Published: (2025)

On Scalability of Multi-Objective Evolutionary Algorithms on Combinatorial Optimisation Problems
by: Tang, Menghao, et al.
Published: (2026)

Random is Faster than Systematic in Multi-Objective Local Search
by: Liang, Zimin, et al.
Published: (2026)

Not Just for Archiving: Provable Benefits of Reusing the Archive in Evolutionary Multi-objective Optimization
by: Ren, Shengjie, et al.
Published: (2025)

On the Problem Characteristics of Multi-objective Pseudo-Boolean Functions in Runtime Analysis
by: Liang, Zimin, et al.
Published: (2025)

A Theoretical Perspective on Why Stochastic Population Update Needs an Archive in Evolutionary Multi-objective Optimization
by: Ren, Shengjie, et al.
Published: (2025)

An Archive Can Bring Provable Speed-ups in Multi-Objective Evolutionary Algorithms
by: Bian, Chao, et al.
Published: (2024)

Variable Search Stepsize for Randomized Local Search in Multi-Objective Combinatorial Optimization
by: Ren, Xuepeng, et al.
Published: (2026)

A Weight Adaptation Trigger Mechanism in Decomposition-based Evolutionary Multi-Objective Optimisation
by: Han, Xiaofeng, et al.
Published: (2025)

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

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

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

A Class Inference Scheme With Dempster-Shafer Theory for Learning Fuzzy-Classifier Systems
by: Shiraishi, Hiroki, et al.
Published: (2025)

Stochastic Population Update Can Provably Be Helpful in Multi-Objective Evolutionary Algorithms
by: Bian, Chao, et al.
Published: (2023)

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

X-KAN: Optimizing Local Kolmogorov-Arnold Networks via Evolutionary Rule-Based Machine Learning
by: Shiraishi, Hiroki, 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 Parameter-free Adaptive Resonance Theory-based Topological Clustering Algorithm Capable of Continual Learning
by: Masuyama, Naoki, et al.
Published: (2023)

A First Running Time Analysis of the Strength Pareto Evolutionary Algorithm 2 (SPEA2)
by: Ren, Shengjie, et al.
Published: (2024)

MO-ELA: Rigorously Expanding Exploratory Landscape Features for Automated Algorithm Selection in Continuous Multi-Objective Optimisation
by: Preuß, Oliver, et al.
Published: (2026)

Maintaining Diversity Provably Helps in Evolutionary Multimodal Optimization
by: Ren, Shengjie, et al.
Published: (2024)

Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation
by: Rodriguez, C. J., et al.
Published: (2024)

Adapting Rule Representation With Four-Parameter Beta Distribution for Learning Classifier Systems
by: Shiraishi, Hiroki, et al.
Published: (2025)

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

Privacy-preserving Continual Federated Clustering via Adaptive Resonance Theory
by: Masuyama, Naoki, et al.
Published: (2023)

Enhancing Generalization and Scalability for Multi-Objective Optimization with Population Pre-Training
by: Hong, Haokai, et al.
Published: (2023)

Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects
by: Poyatos, Javier, et al.
Published: (2024)

Autonomous Multi-Objective Optimization Using Large Language Model
by: Huang, Yuxiao, et al.
Published: (2024)

Denoising and Reconstruction of Nonlinear Dynamics using Truncated Reservoir Computing
by: Sedehi, Omid, et al.
Published: (2025)

Enhanced Ideal Objective Vector Estimation for Evolutionary Multi-Objective Optimization
by: Zheng, Ruihao, et al.
Published: (2025)

Evolutionary Multi-Objective Optimisation for Fairness-Aware Self Adjusting Memory Classifiers in Data Streams
by: Amarasinghe, Pivithuru Thejan, et al.
Published: (2024)

Multi-Objective Communication Optimization for Temporal Continuity in Dynamic Vehicular Networks
by: Guo, Weian, et al.
Published: (2024)

An accelerate Prediction Strategy for Dynamic Multi-Objective Optimization
by: Lei, Ru, et al.
Published: (2024)

A Scalable Benchmark Test Suite for Dynamic Multi-Objective Optimization with a Changing Number of Objectives
by: Shang, Ke, et al.
Published: (2026)

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

Evolving Interdependent Operators with Large Language Models for Multi-Objective Combinatorial Optimization
by: Qiu, Junhao, et al.
Published: (2026)

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

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

Scalable Multi-Objective Optimization for Robust Traffic Signal Control in Uncertain Environments
by: Guo, Weian, et al.
Published: (2024)