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» Removing the Genetics from the Standard Genetic Algorithm
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ANLP
1997
111views more  ANLP 1997»
13 years 6 months ago
An Improvement in the Selection Process of Machine Translation Using Inductive Learning with Genetic Algorithms
We proposed a method of machine translation using inductive learning with genetic algorithms, and confirmed the effectiveness of applying genetic algorithms. However, the system b...
Hiroshi Echizen-ya, Kenji Araki, Yoshikazu Miyanag...
GECCO
2004
Springer
145views Optimization» more  GECCO 2004»
13 years 10 months ago
An Estimation of Distribution Algorithm Based on Maximum Entropy
Estimation of distribution algorithms (EDA) are similar to genetic algorithms except that they replace crossover and mutation with sampling from an estimated probability distributi...
Alden H. Wright, Riccardo Poli, Christopher R. Ste...
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
GECCO
2003
Springer
143views Optimization» more  GECCO 2003»
13 years 10 months ago
Quadrilateral Mesh Smoothing Using a Steady State Genetic Algorithm
Abstract. This paper investigates the use of a steady state genetic algorithm (GA) to perform quadrilateral finite element mesh smoothing. GAS short for genetic algorithm smoother...
Mike Holder, Charles L. Karr