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GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
15 years 4 months ago
Three interconnected parameters for genetic algorithms
When an optimization problem is encoded using genetic algorithms, one must address issues of population size, crossover and mutation operators and probabilities, stopping criteria...
Pedro A. Diaz-Gomez, Dean F. Hougen
AEI
1999
120views more  AEI 1999»
14 years 9 months ago
Genetic algorithms for designing multihop lightwave network topologies
Multihop lightwave networks are a means of utilizing the large bandwidth of optical fibers. In these networks, each node has a fixed number of transmitters and receivers connected...
Cenk Gazen, Cem Ersoy
IJNSEC
2007
147views more  IJNSEC 2007»
14 years 9 months ago
A Genetic Algorithm for Cryptanalysis of DES-8
Various cryptosystems exploit exhaustive techniques to search, missing-the-mark, key space. Such search techniques should be guided in order to be computationally adequate. Here, ...
Hasan Mohammed Hasan Husein, Bayoumi I. Bayoumi, F...
ISDA
2008
IEEE
15 years 3 months ago
Cultural-Based Genetic Algorithm: Design and Real World Applications
Due to their excellent performance in solving combinatorial optimization problems, metaheuristics algorithms such as Genetic Algorithms (GA), Simulated Annealing (SA) and Tabu Sea...
Mostafa A. El-Hosseini, Aboul Ella Hassanien, Ajit...
GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
14 years 10 months ago
Rank based variation operators for genetic algorithms
We show how and why using genetic operators that are applied with probabilities that depend on the fitness rank of a genotype or phenotype offers a robust alternative to the Sim...
Jorge Cervantes, Christopher R. Stephens