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Abstract: Evolutionary algorithms (EAs) for solving constraint satisfaction problems (CSPs) can be roughly divided into two classes: EAs using adaptive fitness functions and EAs using heuristics. In [5] the most effective EAs of the first class have been compared experimentally using a large set of benchmark instances consisting of randomly generated binary CSPs. In this paper we complete this comparison by studying the most effective EAs that use heuristics. (Update)
Context of citations to this paper: More
...the current state of evolutionary computation on solving binary csps. These were selected as the best out of all methods studied in [3] and [5] Note that the eas presented here all try to minimise the tness function. A tness of zero equals to nding a solution. 4.1...
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BibTeX entry: (Update)
B. Craenen, A. Eiben, and E. Marchiori. Solving constraint satisfaction problems with heuristic-based evolutionary algorithms. In Eleventh Belgium-Netherlands Conference on Artificial Intelligence, 1999. http://citeseer.ist.psu.edu/craenen99solving.html More
@inproceedings{ craenen00solving,
author = "B. G. W. Craenen and A. E. Eiben and E. Marchiori",
title = "Solving Constraint Satisfaction Problems with Heuristic-Based Evolutionary Algorithms",
booktitle = "Proceedings of the 2000 Congress on Evolutionary Computation CEC00",
month = "6-9",
publisher = "IEEE Press",
address = "La Jolla Marriott Hotel La Jolla, California, USA",
isbn = "0-7803-6375-2",
pages = "1571--1577",
year = "2000",
url = "citeseer.ist.psu.edu/craenen99solving.html" }
Citations (may not include all citations):473 Foundations of Constraint Satisfaction (context) - Tsang - 1993
78 Phase transition and the mushy region in constraint satisfac.. (context) - Smith - 1994
48 Co-evolutionary constraint satisfaction (context) - Paredis - 1994
39 Graph coloring with adaptive evolutionary algorithms - Eiben, van der Hauw et al. - 1998
31 Self-adaptivity for constraint satisfaction: Learning penalt.. - Eiben, Ruttkay - 1996
29 Solving constraint satisfaction problem using geneticsystema.. (context) - Dozier, satisfaction et al. - 1995
29 Solving constraint satisfaction problems using hybrid evolut.. (context) - Dozier, Bowen et al. - 1998
22 IEEE Press (context) - the, Conference et al. - 1994
17 Solving small and large constraint satisfaction problems usi.. (context) - Dozier, Bowen et al.
16 Solving constraint satisfaction problems using genetic algor.. (context) - Eiben, Rau'e et al.
9 Combining constraint processing and genetic algorithms for c.. (context) - Marchiori - 1997
6 Solving binary constraint satisfaction problems using evolut.. - Eiben, van Hemert et al. - 1998
5 Evolutionary search guided by the constraint network to solv.. (context) - Riff-Rojas - 1997
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