Matteo Gagliolo, Viktor Zhumatiy, Jürgen Schmidhuber  Home/Search
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Abstract: Given is a search problem or a sequence of search problems, as well as a set of potentially useful search algorithms. We propose a general framework for online allocation of computation time to search algorithms based on experience with their performance so far. In an example instantiation, we use simple linear extrapolation of performance for allocating time to various simultaneously running genetic algorithms characterized by different parameter values. Despite the large number of searchers... (Update)
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BibTeX entry: (Update)
Gagliolo, M., Zhumatiy, V., Schmidhuber, J.: Adaptive online time allocation to search algorithms. In Boulicaut, J.F., Esposito, F., Giannotti, F., Pedreschi, D., eds.: Machine Learning: ECML 2004. http://citeseer.ist.psu.edu/gagliolo04adaptive.html More
@inproceedings{ gagliolo04adaptive,
author = "M. Gagliolo and V. Zhumatiy and J. Schmidhuber",
title = "Adaptive online time allocation to search algorithms",
booktitle = {Machine Learning: {ECML} 2004. Proceedings of the 15th European Conference on Machine Learning, Pisa, Italy, September 20-24, 2004},
year = {2004},
month = {September},
editor = {J.F. Boulicaut and F.Esposito and F. Giannotti and Dino Pedreschi},
pages = {134-143},
publisher = {Springer},
note = {--- Extended tech. report available at \texttt{http://www.idsia.ch/idsiareport/{IDSIA}-23-04.ps.gz}},
url = {citeseer.ist.psu.edu/gagliolo04adaptive.html} }
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