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Band-structure parameters by genetic algorithm
Physical Review B, 1996A genetic algorithm has been used to solve a complex multidimensional parameter-fitting problem. We will focus on the parameters of an empirical tight-binding Hamiltonian. The method is used to approximate the electronic energy band structure if energy values are known for a few wave vectors of high symmetry. Compared to the usual manual procedure this
, Starrost +3 more
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Experimental Design in the Evaluation of Genetic Parameters
Biometrics, 1959Summary:
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Impact on Genetic Algorithm of Different Parameters
2008Genetic algorithm is a highly efficient parallel evolution algorithm of the global search which is decided by the balance of the exploitation and exploration. This balance also depends on population size, the biggest evolution of algebra, coding length, crossover rate and mutation rate, etc., therefore, the set of evolution parameters for the search ...
Xiang Li 0070, Qiao Chen, Yanli Li
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Genetic parameters for eggshell traits in ostriches
British Poultry Science, 20121. A study was conducted on ~14000 ostrich eggs to estimate genetic parameters for eggshell traits that could benefit the hatchability of ostrich eggs. Traits measured included the number of pores on the eggshell, the average diameter of these pores, the total area of pores on the eggshell, permeability (pore area/shell thickness) and eggshell ...
Brand Z +3 more
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The parameter-less genetic algorithm in practice
Information Sciences, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fernando G. Lobo, David E. Goldberg
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Genetic and Phenotypic Parameters for Sow Productivity
Journal of Animal Science, 1984Data from 609 purebred Yorkshire, Hampshire and Duroc litters were utilized to obtain genetic and environmental parameter estimates for litter number and weight traits at birth, 21 d (first creep) and 42 d (weaning) considered as traits of the sow. Differences among paternal half-sib sets of sows were analyzed.
K M, Irvin, L A, Swiger
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Three interconnected parameters for genetic algorithms
Proceedings of the 11th Annual conference on Genetic and evolutionary computation, 2009When an optimization problem is encoded using genetic algorithms, one must address issues of population size, crossover and mutation operators and probabilities, stopping criteria, selection operator and pressure, and fitness function to be used in order to solve the problem.
Pedro A. Diaz-Gomez, Dean F. Hougen
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Optimization of Control Parameters for Genetic Algorithms
IEEE Transactions on Systems, Man, and Cybernetics, 1986The task of optimizing a complex system presents at least two levels of problems for the system designer. First, a class of optimization algorithms must be chosen that is suitable for application to the system. Second, various parameters of the optimization algorithm need to be tuned for efficiency.
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Parameter Optimization of PEMFC with Genetic Algorithm
New Mathematics and Natural Computation, 2016This paper provides a review of recent research in the application of genetic algorithms to proton exchange membrane fuel cell parameter optimization.
Puja Bhatt +2 more
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Genetic Algorithms for Real Parameter Optimization
1991Abstract This paper is concerned with the application of genetic algorithms to optimization problems over several real parameters. It is shown that k-point crossover (for k small relative to the number of parameter) can be viewed as a crossover operation on the vector of parameters plus perturbations of some of the parameters.
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