- author = "Robert E. Keller and Riccardo Poli",
- title = "Self-Adaptive Hyperheuristic and Greedy Search",
- booktitle = "2008 IEEE World Congress on Computational Intelligence",
- year = "2008",
- editor = "Jun Wang",
- pages = "3801--3808",
- address = "Hong Kong",
- month = "1-6 " # jun,
- organization = "IEEE Computational Intelligence Society",
- publisher = "IEEE Press",
- keywords = "genetic algorithms, genetic programming",
- isbn13 = "978-1-4244-1823-7",
- file = "EC0809.pdf",
-
DOI = "
10.1109/CEC.2008.4631313",
- abstract = "In previous work, we have introduced an effective and resource-efficient hyperheuristic that uses Genetic Programming as its search heuristic on the space of heuristics. Here, we show that the hyperheuristic performs better than purely greedy and even only mostly greedy flavours of hill climbing. We also introduce a generic principle that allows the hyperheuristic to automatically find good parameter values for its effective and efficient search.",
-
notes = "also known as \cite{4631313}
WCCI 2008 - A joint meeting of the IEEE, the INNS, the EPS and the IET.",
