Speeding Up Hyper-Heuristics With Markov-Chain Operator Selection and the Only-Worsening Acceptance Operator
Fuente:
arXiv
Saved in:
| Main Authors: | Bendahi, Abderrahim, Doerr, Benjamin, Fradin, Adrien, Lutzeyer, Johannes F. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Hyper-Heuristics Can Profit From Global Variation Operators
by: Doerr, Benjamin, et al.
Published: (2024)
by: Doerr, Benjamin, et al.
Published: (2024)
How the Move Acceptance Hyper-Heuristic Copes With Local Optima: Drastic Differences Between Jumps and Cliffs
by: Doerr, Benjamin, et al.
Published: (2023)
by: Doerr, Benjamin, et al.
Published: (2023)
On Constrained and k Shortest Paths
by: Bendahi, Abderrahim, et al.
Published: (2024)
by: Bendahi, Abderrahim, et al.
Published: (2024)
Runtime Analysis for the NSGA-II: Provable Speed-Ups From Crossover
by: Doerr, Benjamin, et al.
Published: (2022)
by: Doerr, Benjamin, et al.
Published: (2022)
Selection Hyper-heuristics Can Automatically Adjust the Learning Period to Optimally Solve Pseudo-Boolean Problems
by: Doerr, Benjamin, et al.
Published: (2026)
by: Doerr, Benjamin, et al.
Published: (2026)
Unlearning Works Better Than You Think: Local Reinforcement-Based Selection of Auxiliary Objectives
by: Bendahi, Abderrahim, et al.
Published: (2025)
by: Bendahi, Abderrahim, et al.
Published: (2025)
The Runtime of Random Local Search on the Generalized Needle Problem
by: Doerr, Benjamin, et al.
Published: (2024)
by: Doerr, Benjamin, et al.
Published: (2024)
Fourier Analysis Meets Runtime Analysis: Precise Runtimes on Plateaus
by: Doerr, Benjamin, et al.
Published: (2023)
by: Doerr, Benjamin, et al.
Published: (2023)
A First Runtime Analysis of the NSGA-II on a Multimodal Problem
by: Doerr, Benjamin, et al.
Published: (2022)
by: Doerr, Benjamin, et al.
Published: (2022)
Biased Pareto Optimization for Subset Selection with Dynamic Cost Constraints
by: Liu, Dan-Xuan, et al.
Published: (2024)
by: Liu, Dan-Xuan, et al.
Published: (2024)
Stability and Discretization Error of State Space Model Neural Operators
by: Bendahi, Abderrahim, et al.
Published: (2026)
by: Bendahi, Abderrahim, et al.
Published: (2026)
Multi-Neuron Representations of Hierarchical Concepts in Spiking Neural Networks
by: Lynch, Nancy A.
Published: (2024)
by: Lynch, Nancy A.
Published: (2024)
Convergence and Running Time of Time-dependent Ant Colony Algorithms
by: Manthey, Bodo, et al.
Published: (2025)
by: Manthey, Bodo, et al.
Published: (2025)
A Scalable Trie Building Algorithm for High-Throughput Phyloanalysis of Wafer-Scale Digital Evolution Experiments
by: Singhvi, Vivaan, et al.
Published: (2025)
by: Singhvi, Vivaan, et al.
Published: (2025)
Learning to Approximate Uniform Facility Location via Graph Neural Networks
by: Qian, Chendi, et al.
Published: (2026)
by: Qian, Chendi, et al.
Published: (2026)
Abstraction in Neural Networks
by: Lynch, Nancy
Published: (2024)
by: Lynch, Nancy
Published: (2024)
Training Neural Networks is NP-Hard in Fixed Dimension
by: Froese, Vincent, et al.
Published: (2023)
by: Froese, Vincent, et al.
Published: (2023)
Covered Forest: Fine-grained generalization analysis of graph neural networks
by: Vasileiou, Antonis, et al.
Published: (2024)
by: Vasileiou, Antonis, et al.
Published: (2024)
Classical Sorting Algorithms as a Model of Morphogenesis: self-sorting arrays reveal unexpected competencies in a minimal model of basal intelligence
by: Zhang, Taining, et al.
Published: (2023)
by: Zhang, Taining, et al.
Published: (2023)
Local search for valued constraint satisfaction parameterized by treedepth
by: Kaznatcheev, Artem
Published: (2024)
by: Kaznatcheev, Artem
Published: (2024)
ReLU Neural Networks of Polynomial Size for Exact Maximum Flow Computation
by: Hertrich, Christoph, et al.
Published: (2021)
by: Hertrich, Christoph, et al.
Published: (2021)
Stringology-Based Motif Discovery from EEG Signals: an ADHD Case Study
by: Dahan, Anat, et al.
Published: (2026)
by: Dahan, Anat, et al.
Published: (2026)
Predictive Spike Timing Enables Distributed Shortest Path Computation in Spiking Neural Networks
by: Storesund, Simen, et al.
Published: (2025)
by: Storesund, Simen, et al.
Published: (2025)
Convergence Analysis for Deep Sparse Coding via Convolutional Neural Networks
by: Li, Jianfei, et al.
Published: (2024)
by: Li, Jianfei, et al.
Published: (2024)
Which Algorithms Can Graph Neural Networks Learn?
by: Wittig, Solveig, et al.
Published: (2026)
by: Wittig, Solveig, et al.
Published: (2026)
Speeding Up the NSGA-II via Dynamic Population Sizes
by: Doerr, Benjamin, et al.
Published: (2025)
by: Doerr, Benjamin, et al.
Published: (2025)
Speeding Up the NSGA-II With a Simple Tie-Breaking Rule
by: Doerr, Benjamin, et al.
Published: (2024)
by: Doerr, Benjamin, et al.
Published: (2024)
Superior Genetic Algorithms for the Target Set Selection Problem Based on Power-Law Parameter Choices and Simple Greedy Heuristics
by: Doerr, Benjamin, et al.
Published: (2024)
by: Doerr, Benjamin, et al.
Published: (2024)
Finding Low Star Discrepancy 3D Kronecker Point Sets Using Algorithm Configuration Techniques
by: Abderrahim, Imène Ait, et al.
Published: (2026)
by: Abderrahim, Imène Ait, et al.
Published: (2026)
An Extended Jump Functions Benchmark for the Analysis of Randomized Search Heuristics
by: Bambury, Henry, et al.
Published: (2021)
by: Bambury, Henry, et al.
Published: (2021)
Succinct Planar Encoding with Minor Operations
by: Kammer, Frank, et al.
Published: (2023)
by: Kammer, Frank, et al.
Published: (2023)
Scalable Speed-ups for the SMS-EMOA from a Simple Aging Strategy
by: Li, Mingfeng, et al.
Published: (2025)
by: Li, Mingfeng, et al.
Published: (2025)
Large-scale Benchmarking of Metaphor-based Optimization Heuristics
by: Vermetten, Diederick, et al.
Published: (2024)
by: Vermetten, Diederick, et al.
Published: (2024)
Runtime Analysis of the SMS-EMOA for Many-Objective Optimization
by: Zheng, Weijie, et al.
Published: (2023)
by: Zheng, Weijie, et al.
Published: (2023)
Near-Tight Runtime Guarantees for Many-Objective Evolutionary Algorithms
by: Wietheger, Simon, et al.
Published: (2024)
by: Wietheger, Simon, et al.
Published: (2024)
Evolutionary Algorithms Are Significantly More Robust to Noise When They Ignore It
by: Antipov, Denis, et al.
Published: (2024)
by: Antipov, Denis, et al.
Published: (2024)
Markov Chains with Rewinding
by: Azarmehr, Amir, et al.
Published: (2026)
by: Azarmehr, Amir, et al.
Published: (2026)
Difficulties of the NSGA-II with the Many-Objective LeadingOnes Problem
by: Doerr, Benjamin, et al.
Published: (2024)
by: Doerr, Benjamin, et al.
Published: (2024)
The First Theoretical Approximation Guarantees for the Non-Dominated Sorting Genetic Algorithm III (NSGA-III)
by: Deng, Renzhong, et al.
Published: (2025)
by: Deng, Renzhong, et al.
Published: (2025)
Runtime Analysis for Multi-Objective Evolutionary Algorithms in Unbounded Integer Spaces
by: Doerr, Benjamin, et al.
Published: (2024)
by: Doerr, Benjamin, et al.
Published: (2024)
Similar Items
-
Hyper-Heuristics Can Profit From Global Variation Operators
by: Doerr, Benjamin, et al.
Published: (2024) -
How the Move Acceptance Hyper-Heuristic Copes With Local Optima: Drastic Differences Between Jumps and Cliffs
by: Doerr, Benjamin, et al.
Published: (2023) -
On Constrained and k Shortest Paths
by: Bendahi, Abderrahim, et al.
Published: (2024) -
Runtime Analysis for the NSGA-II: Provable Speed-Ups From Crossover
by: Doerr, Benjamin, et al.
Published: (2022) -
Selection Hyper-heuristics Can Automatically Adjust the Learning Period to Optimally Solve Pseudo-Boolean Problems
by: Doerr, Benjamin, et al.
Published: (2026)