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» Restartings: A Technique to Improve Classic Genetic Algorith...
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CP
2007
Springer
13 years 11 months ago
On Universal Restart Strategies for Backtracking Search
Abstract. Constraint satisfaction and propositional satisfiability problems are often solved using backtracking search. Previous studies have shown that a technique called randomi...
Huayue Wu, Peter van Beek
NC
1998
138views Neural Networks» more  NC 1998»
13 years 6 months ago
Parallel Adaptive Genetic Algorithm
In this paper we introduce an efficient implementation of asynchronously parallel genetic algorithm with adaptive genetic operators. The classic genetic algorithm paradigm is exte...
Leo Budin, Marin Golub, Domagoj Jakobovic
IEEEHPCS
2010
13 years 3 months ago
Fast learning for multibiometrics systems using genetic algorithms
The performance (in term of error rate) of biometric systems can be improved by combining them. Multiple fusion techniques can be applied from classical logical operations to more...
Romain Giot, Mohamad El-Abed, Christophe Rosenberg...
GECCO
2009
Springer
192views Optimization» more  GECCO 2009»
13 years 3 months ago
Improving SMT performance: an application of genetic algorithms to configure resizable caches
Simultaneous Multithreading (SMT) is a technology aimed at improving the throughput of the processor core by applying Instruction Level Parallelism (ILP) and Thread Level Parallel...
Josefa Díaz, José Ignacio Hidalgo, F...
CORR
2010
Springer
427views Education» more  CORR 2010»
13 years 3 months ago
A Comparison between Memetic algorithm and Genetic algorithm for the cryptanalysis of Simplified Data Encryption Standard algori
Genetic algorithms are a population-based Meta heuristics. They have been successfully applied to many optimization problems. However, premature convergence is an inherent charact...
Poonam Garg