Abstract
Go-with-the-winners (GWW) is a simple but powerful paradigm for designing heuristics for NP-hard optimization problems. We give a brief survey of the theoretical basis as well as the experimental validation of this paradigm.
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References
Aldous, D., Vazirani, U.: “Go with the winners” Algorithms. Proceedings of 35th IEEE Symposium on Foundations of Computer Science (FOCS), pages 492–501, 1994.
Carson, T., Impagliazzo, R.: Experimentally Determining Regions of Related Solutions for Graph Bisection Problems. Manuscript, 1999.
Dimitriou, A., Impagliazzo, R.: Towards a Rigorous Analysis of Local Optimization Algorithms. 28th ACM Symposium on the Theory of Computing, 1996.
Dimitriou, A., Impagliazzo, R.: Go-with-the-winners Algorithms for Graph Bisection. SODA 98, pages 510–520, 1998.
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© 1999 Springer-Verlag Berlin Heidelberg
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Vazirani, U.V. (1999). Go-With-The-Winners Heuristic. In: Dehne, F., Sack, JR., Gupta, A., Tamassia, R. (eds) Algorithms and Data Structures. WADS 1999. Lecture Notes in Computer Science, vol 1663. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48447-7_22
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DOI: https://doi.org/10.1007/3-540-48447-7_22
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