Assessing hyper-heuristic performance
Author:
Affiliation:
1. Department of Computer Science, University of Pretoria, Pretoria, South Africa
2. School of Computer Science, University of Nottingham, Nottingham, UK
Publisher
Informa UK Limited
Subject
Marketing,Management Science and Operations Research,Strategy and Management,Management Information Systems
Link
https://www.tandfonline.com/doi/pdf/10.1080/01605682.2020.1796538
Reference60 articles.
1. An evaluation of Monte Carlo-based hyper-heuristic for interaction testing of industrial embedded software applications
2. Generating SAT Local-Search Heuristics Using a GP Hyper-Heuristic Framework
3. Evolving timetabling heuristics using a grammar-based genetic programming hyper-heuristic framework
4. Hyper-heuristics: a survey of the state of the art
5. A Genetic Programming Hyper-Heuristic Approach for Evolving 2-D Strip Packing Heuristics
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