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» A comparison of search heuristics for empirical code optimiz...
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JSAT
2008
113views more  JSAT 2008»
14 years 9 months ago
Combining Adaptive and Dynamic Local Search for Satisfiability
In this paper we describe a stochastic local search (SLS) procedure for finding models of satisfiable propositional formulae. This new algorithm, gNovelty+ , draws on the features...
Duc Nghia Pham, John Thornton, Charles Gretton, Ab...
66
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GECCO
2009
Springer
141views Optimization» more  GECCO 2009»
15 years 4 months ago
Distributed hyper-heuristics for real parameter optimization
Hyper-heuristics (HHs) are heuristics that work with an arbitrary set of search operators or algorithms and combine these algorithms adaptively to achieve a better performance tha...
Marco Biazzini, Balázs Bánhelyi, Alb...
ICCD
2001
IEEE
176views Hardware» more  ICCD 2001»
15 years 6 months ago
BDD Variable Ordering by Scatter Search
Reduced Ordered Binary Decision Diagrams (BDDs) are a data structure for representation and manipulation of Boolean functions which are frequently used in VLSI Design Automation. ...
William N. N. Hung, Xiaoyu Song
CPHYSICS
2006
204views more  CPHYSICS 2006»
14 years 9 months ago
Genetically controlled random search: a global optimization method for continuous multidimensional functions
A new stochastic method for locating the global minimum of a multidimensional function inside a rectangular hyperbox is presented. A sampling technique is employed that makes use ...
Ioannis G. Tsoulos, Isaac E. Lagaris
GECCO
2009
Springer
144views Optimization» more  GECCO 2009»
15 years 4 months ago
Using automated search to generate test data for matlab
The critical functionality of many software applications relies on code that performs mathematically complex computations. However, such code is often difficult to test owing to t...
Sion Ll Rhys, Simon M. Poulding, John A. Clark