genetic algorithm


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genetic algorithm

a computer-simulated evolutionary sequence used in cluster analysis.

genetic algorithm

n.
An algorithm that solves a problem using an evolutionary approach by generating mutations to the current solution method, selecting the better methods from this new generation, and then using these improved methods to repeat the process.
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Genetic Algorithm (GA) is part of Evolutionary algorithms which use the probabilistic rule translation, i.
To compensate for the excessive computation time needed by the SGA, the important genetic algorithm (IGA) emphasizing on the coding of the chromosomes with floating purpose illustration was introduced and established to possess important improvements on the computation speed and exactness (Wei-Der Chang [14]; Goldberg [15]).
This research presents a hybrid Genetic Algorithm Neural Network (GA-NN) model to replace the physical tests procedures of Medium Density Fiberboard (MDF).
The genetic algorithm is implemented in the MATLAB scientific programming environment.
Additionally, a mixed search method was proposed based on the orthogonal genetic algorithm and sensitivity analysis.
Coding is one of the most important problems to be solved when using genetic algorithm and it is also a key step in the design of the genetic algorithm.
By genetic algorithm, some items are discarded, and others are kept.
Segmentation and detection of breast cancer in mammograms combining wavelet analysis and genetic algorithm.
In this experimental study we use a standard genetic algorithm (SGA) [23] and a hybrid genetic algorithm (HGA) [15] that in fact mimics the evolutionary behavior [12, 20, 23], but is enhanced at every generation with the use of a local search algorithm.
In the paper "Acquiring knowledge needed for pull production system design through data mining methods" [22], the genetic algorithm is used to obtain data on status of work in progress and the number of completed orders based on the combination of number of Kanban cards kbl, kb2 and kb3.
global optimization of trusses with a modified genetic algorithm, Journal of Civil Engineering and Management 14(3): 147-154.
A hybrid classification method of k nearest neighbors, Bayesian methods and genetic algorithm.

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