@inproceedings{b667d9bf35f14951bbd173e74d36b6ba,
title = "A hyperheuristic approach for dynamic enumeration strategy selection in constraint satisfaction",
abstract = "In this work we show a framework for guiding the classical constraint programming resolution process. Such a framework allows one to measure the resolution process state in order to perform an {"}on the fly{"}replacement of strategies exhibiting poor performances. The replacement is performed depending on a quality rank, which is computed by means of a choice function. The choice function determines the performance of a given strategy in a given amount of time through a set of indicators and control parameters. The goal is to select promising strategies to achieve efficient resolution processes. The main novelty of our approach is that we reconfigure the search based solely on performance data gathered while solving the current problem. We report encouraging results where our combination of strategies outperforms the use of individual strategies.",
keywords = "Constraint Programming, Heuristic Search, Reactive Search",
author = "Broderick Crawford and Ricardo Soto and Carlos Castro and Eric Monfroy",
year = "2011",
doi = "10.1007/978-3-642-21326-7_32",
language = "English",
isbn = "9783642213250",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 2",
pages = "295--304",
booktitle = "New Challenges on Bioinspired Applications - 4th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2011, Proceedings",
edition = "PART 2",
note = "4th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2011 ; Conference date: 30-05-2011 Through 03-06-2011",
}