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ISCC
2006
IEEE
188views Communications» more  ISCC 2006»
13 years 10 months ago
Dejong Function Optimization by Means of a Parallel Approach to Fuzzified Genetic Algorithm
Genetic Algorithms are very powerful search methods that are used in different optimization problems. Parallel versions of genetic algorithms are easily implemented and usually in...
Ebrahim Bagheri, Hossein Deldari
ICPPW
2002
IEEE
13 years 9 months ago
Near-Optimal Loop Tiling by Means of Cache Miss Equations and Genetic Algorithms
The effectiveness of the memory hierarchy is critical for the performance of current processors. The performance of the memory hierarchy can be improved by means of program transf...
Jaume Abella, Antonio González, Josep Llosa...
GECCO
2006
Springer
202views Optimization» more  GECCO 2006»
13 years 8 months ago
Evolving hash functions by means of genetic programming
The design of hash functions by means of evolutionary computation is a relatively new and unexplored problem. In this work, we use Genetic Programming (GP) to evolve robust and fa...
César Estébanez, Julio César ...
IIS
2003
13 years 6 months ago
Function Optimization with Coevolutionary Algorithms
Abstract. The problem of parallel and distributed function optimization with coevolutionary algorithms is considered. Two coevolutionary algorithms are used for this purpose and co...
Franciszek Seredynski, Albert Y. Zomaya, Pascal Bo...
PACT
1997
Springer
13 years 9 months ago
Parallel and Distributed Evolutionary Computation with MANIFOLD
Abstract. In this paper, we apply a competitive coevolutionary approach using loosely coupled genetic algorithms to a distributed optimization of the Rosenbrock's function. Th...
Franciszek Seredynski, Pascal Bouvry, Farhad Arbab