Surrogate-assisted analysis of the parameter configuration landscape for meta-heuristic optimisation-Reference-Cited by-同舟云学术

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Surrogate-assisted analysis of the parameter configuration landscape for meta-heuristic optimisation

Published:2023-10 Issue: Volume:146 Page:110705
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Harrison Kyle Robert^ORCID

Publisher

Elsevier BV

Subject

Software

Reference34 articles.

1. Fitness landscapes;Stadler,2002

2. Characterising Continuous Optimisation Problems for Particle Swarm Optimisation Performance Prediction;Malan,2014

3. Paramils: an automatic algorithm configuration framework;Hutter;J. Artificial Intelligence Res.,2009

4. F-race and iterated F-race: An overview;Birattari,2010

5. Algorithm configuration landscapes;Pushak,2018

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Advancements in Q‐learning meta‐heuristic optimization algorithms: A survey;WIREs Data Mining and Knowledge Discovery;2024-08-18

2. Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation;Proceedings of the Genetic and Evolutionary Computation Conference;2024-07-14

3. A Dynamic Hierarchical Hyperheuristic Based Automatic Algorithm Design with Reinforcement Learning;2023

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