Generative Hyper-heuristics

Author:

Tauritz Daniel R.1ORCID,Woodward John R.2ORCID

Affiliation:

1. Auburn University, Auburn, USA

2. Loughborough University, Loughborough, UK

Publisher

ACM

Reference44 articles.

1. John Woodward. Computable and Incomputable Search Algorithms and Functions. IEEE International Conference on Intelligent Computing and Intelligent Systems (IEEE ICIS 2009 ), pp. 871 -- 875 , 2009 . John Woodward. Computable and Incomputable Search Algorithms and Functions. IEEE International Conference on Intelligent Computing and Intelligent Systems (IEEE ICIS 2009), pp. 871--875, 2009.

2. John Woodward. The Necessity of Meta Bias in Search Algorithms. International Conference on Computational Intelligence and Software Engineering (CiSE) , pp. 1 -- 4 , 2010 . John Woodward. The Necessity of Meta Bias in Search Algorithms. International Conference on Computational Intelligence and Software Engineering (CiSE), pp. 1--4, 2010.

3. Why evolution is not a good paradigm for program induction

4. Searching the Hyper-heuristic Design Space

5. Contrasting meta-learning and hyper-heuristic research: the role of evolutionary algorithms

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