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» Strategies for Solving SAT in Grids by Randomized Search
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AAAI
1994
14 years 10 months ago
Noise Strategies for Improving Local Search
It has recently been shown that local search is surprisingly good at nding satisfying assignments for certain computationally hard classes of CNF formulas. The performance of basi...
Bart Selman, Henry A. Kautz, Bram Cohen
93
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GECCO
2004
Springer
120views Optimization» more  GECCO 2004»
15 years 2 months ago
Comparison of Selection Strategies for Evolutionary Quantum Circuit Design
Evolution of quantum circuits faces two major challenges: complex and huge search spaces and the high costs of simulating quantum circuits on conventional computers. In this paper ...
André Leier, Wolfgang Banzhaf
JAIR
2000
123views more  JAIR 2000»
14 years 9 months ago
Backbone Fragility and the Local Search Cost Peak
The local search algorithm WSat is one of the most successful algorithms for solving the satisfiability (SAT) problem. It is notably effective at solving hard Random 3-SAT instanc...
Josh Singer, Ian P. Gent, Alan Smaill
CSCLP
2004
Springer
15 years 2 months ago
Characterization of a New Restart Strategy for Randomized Backtrack Search
We propose an improved restart strategy for randomized backtrack search, and evaluate its performance by comparing to other heuristic and stochastic search techniques for solving r...
Venkata Praveen Guddeti, Berthe Y. Choueiry
JMLR
2012
12 years 12 months ago
Random Search for Hyper-Parameter Optimization
Grid search and manual search are the most widely used strategies for hyper-parameter optimization. This paper shows empirically and theoretically that randomly chosen trials are ...
James Bergstra, Yoshua Bengio