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» Primer design using genetic algorithm
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TSMC
2002
93views more  TSMC 2002»
14 years 9 months ago
Statistical analysis of the main parameters involved in the design of a genetic algorithm
Abstract--Most genetic algorithm (GA) users adjust the main parameters of the design of a GA (crossover and mutation probability, population size, number of generations, crossover,...
Ignacio Rojas, Jesús González, H&eac...
ISDA
2008
IEEE
15 years 4 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...
WCNC
2008
IEEE
15 years 4 months ago
Genetic Algorithm Aided Design of Near-Capacity Irregular Variable Length Codes
— In this paper we demonstrate that our ability to match the EXtrinsic Information Transfer (EXIT) function of an Irregular Variable Length Code (IrVLC) to that of a seriallyconc...
Robert G. Maunder, Lajos Hanzo
CORR
2011
Springer
217views Education» more  CORR 2011»
14 years 5 months ago
Boolean Networks Design by Genetic Algorithms
Abstract. We present and discuss the results of an experimental analysis in the design of Boolean networks by means of genetic algorithms. A population of networks is evolved with ...
Andrea Roli, Cristian Arcaroli, Marco Lazzarini, S...
GECCO
2005
Springer
152views Optimization» more  GECCO 2005»
15 years 3 months ago
A multi-objective genetic algorithm for robust design optimization
Real-world multi-objective engineering design optimization problems often have parameters with uncontrollable variations. The aim of solving such problems is to obtain solutions t...
Mian Li, Shapour Azarm, Vikrant Aute