Sciweavers

1830 search results - page 17 / 366
» Optimizing Sorting with Genetic Algorithms
Sort
View
AAAI
1998
14 years 11 months ago
Optimal 2D Model Matching Using a Messy Genetic Algorithm
A Messy Genetic Algorithm is customized toflnd'optimal many-to-many matches for 2D line segment models. The Messy GA is a variant upon the Standard Genetic Algorithm in which...
J. Ross Beveridge
GECCO
2004
Springer
175views Optimization» more  GECCO 2004»
15 years 3 months ago
An Architecture for Massive Parallelization of the Compact Genetic Algorithm
This paper presents an architecture which is suitable for a massive parallelization of the compact genetic algorithm. The approach is scalable, has low synchronization costs, and i...
Fernando G. Lobo, Cláudio F. Lima, Hugo Mar...
EUROPAR
2008
Springer
14 years 11 months ago
Optimized Pipelined Parallel Merge Sort on the Cell BE
Chip multiprocessors designed for streaming applications such as Cell BE offer impressive peak performance but suffer from limited bandwidth to offchip main memory. As the number o...
Jörg Keller, Christoph W. Kessler
GECCO
2006
Springer
143views Optimization» more  GECCO 2006»
15 years 1 months ago
Heterogeneous cooperative coevolution: strategies of integration between GP and GA
Cooperative coevolution has proven to be a promising technique for solving complex combinatorial optimization problems. In this paper, we present four different strategies which i...
Leonardo Vanneschi, Giancarlo Mauri, Andrea Valsec...
CORR
2010
Springer
427views Education» more  CORR 2010»
14 years 8 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