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GECCO
2009
Springer
142views Optimization» more  GECCO 2009»
14 years 5 days ago
Evolution, development and learning using self-modifying cartesian genetic programming
Self-Modifying Cartesian Genetic Programming (SMCGP) is a form of genetic programming that integrates developmental (self-modifying) features as a genotype-phenotype mapping. This...
Simon Harding, Julian Francis Miller, Wolfgang Ban...
EUROGP
2000
Springer
107views Optimization» more  EUROGP 2000»
13 years 11 months ago
Using Factorial Experiments to Evaluate the Effect of Genetic Programming Parameters
Abstract. Statistical techniques for designing and analysing experiments are used to evaluate the individual and combined effects of genetic programming parameters. Three binary cl...
Robert Feldt, Peter Nordin
SODA
2010
ACM
216views Algorithms» more  SODA 2010»
14 years 5 months ago
On linear and semidefinite programming relaxations for hypergraph matching
The hypergraph matching problem is to find a largest collection of disjoint hyperedges in a hypergraph. This is a well-studied problem in combinatorial optimization and graph theo...
Yuk Hei Chan, Lap Chi Lau
SPIN
2010
Springer
13 years 6 months ago
An Automata-Based Symbolic Approach for Verifying Programs on Relaxed Memory Models
This paper addresses the problem of verifying programs for the relaxed memory models implemented in modern processors. Specifically, it considers the TSO (Total Store Order) relax...
Alexander Linden, Pierre Wolper
CAV
2008
Springer
157views Hardware» more  CAV 2008»
13 years 9 months ago
Effective Program Verification for Relaxed Memory Models
Program verification for relaxed memory models is hard. The high degree of nondeterminism in such models challenges standard verification techniques. This paper proposes a new veri...
Sebastian Burckhardt, Madanlal Musuvathi