Cover Image

Fast Estimations of Hitting Time of Elitist Evolutionary Algorithms from Fitness Levels

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	He, Jun, Chong, Siang Yew, Yao, Xin
Format:	Preprint
Published:	2023
Subjects:	Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Estimate Hitting Time by Hitting Probability for Elitist Evolutionary Algorithms
by: He, Jun, et al.
Published: (2025)

Drift Analysis with Fitness Levels for Elitist Evolutionary Algorithms
by: He, Jun, et al.
Published: (2023)

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

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

Language Model Evolutionary Algorithms for Recommender Systems: Benchmarks and Algorithm Comparisons
by: Liu, Jiao, et al.
Published: (2024)

An Experimental Approach for Running-Time Estimation of Multi-objective Evolutionary Algorithms in Numerical Optimization
by: Huang, Han, et al.
Published: (2025)

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

Multiple-gain Estimation for Running Time of Evolutionary Combinatorial Optimization
by: Huang, Min, et al.
Published: (2025)

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

A Fitness-assignment Method for Evolutionary Constrained Multi-objective Optimization
by: Ajani, Oladayo S., et al.
Published: (2023)

Experience-Based Evolutionary Algorithms for Expensive Optimization
by: Yu, Xunzhao, et al.
Published: (2023)

MToP: A MATLAB Benchmarking Platform for Evolutionary Multitasking
by: Li, Yanchi, et al.
Published: (2023)

Multi-Objective Evolutionary Optimization of Chance-Constrained Multiple-Choice Knapsack Problems with Implicit Probability Distributions
by: Li, Xuanfeng, et al.
Published: (2026)

Learning Mixture-of-Experts for General-Purpose Black-Box Discrete Optimization
by: Liu, Shengcai, et al.
Published: (2024)

An Efficient Evolutionary Algorithm for Diversified Top-k (Weight) Clique Search Problems
by: Zheng, Jiongzhi, et al.
Published: (2024)

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

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

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

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

Bridging the Gap Between Theory and Practice: Benchmarking Transfer Evolutionary Optimization
by: Hou, Yaqing, et al.
Published: (2024)

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

Quantum Time-Series Learning with Evolutionary Algorithms
by: Anantharamakrishnan, Vignesh, et al.
Published: (2024)

Fitness and Overfitness: Implicit Regularization in Evolutionary Dynamics
by: Rappeport, Hagai, et al.
Published: (2025)

Self-Adjusting Evolutionary Algorithms Are Slow on Multimodal Landscapes
by: Lengler, Johannes, et al.
Published: (2024)

GEEvo: Game Economy Generation and Balancing with Evolutionary Algorithms
by: Rupp, Florian, et al.
Published: (2024)

Gridless Evolutionary Approach for Line Spectral Estimation with Unknown Model Order
by: Yan, Bai, et al.
Published: (2021)

Running-time Analysis of ($μ+λ$) Evolutionary Combinatorial Optimization Based on Multiple-gain Estimation
by: Huang, Min, et al.
Published: (2025)

Evolutionary Algorithm for Chance Constrained Quadratic Multiple Knapsack Problem
by: Perera, Kokila Kasuni, et al.
Published: (2025)

Multi-population GAN Training: Analyzing Co-Evolutionary Algorithms
by: Casas, Walter P., et al.
Published: (2025)

Near-Tight Runtime Guarantees for Many-Objective Evolutionary Algorithms
by: Wietheger, Simon, et al.
Published: (2024)

A Flexible Evolutionary Algorithm With Dynamic Mutation Rate Archive
by: Krejca, Martin S., et al.
Published: (2024)

Evolutionary Algorithms Are Significantly More Robust to Noise When They Ignore It
by: Antipov, Denis, et al.
Published: (2024)

Comparative Analysis of Evolutionary Algorithms for Energy-Aware Production Scheduling
by: Burmeister, Sascha C, et al.
Published: (2025)

All Constant Mutation Rates for the $(1+1)$ Evolutionary Algorithm
by: Kelley, Andrew James
Published: (2026)

Evolutionary Algorithms for Optimizing Emergency Exit Placement in Indoor Environments
by: Cotta, Carlos, et al.
Published: (2024)

Evolutionary Algorithms for Generating Graphs Matching Desired Laplacian Spectra
by: Richter, Hendrik, et al.
Published: (2026)

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

Knowledge-Guided Memetic Algorithm for Capacitated Arc Routing Problems with Time-Dependent Service Costs
by: Li, Qingya, et al.
Published: (2025)

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

Optimized Drug Design using Multi-Objective Evolutionary Algorithms with SELFIES
by: Hömberg, Tomoya, et al.
Published: (2024)