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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But in this study the kinetic parameters (r and k) in Eq.11 was determined by using the genetic algorithm (GA) operation without assuming any constant n values.
Topology optimization of continuum structure coding genetic algorithm. 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.
of samples Masek Algorithm Genetic Algorithm FAR% FRR% CCR% FAR% FRR% CCR% 75 0.00 1.33 98.66 0.00 0.00 100 150 0.00 1.33 98.66 0.66 0.66 99.33 324 0.00 4.93 95.06 1.54 2.77 97.22 Table 2.
Automatic detection of the breast border and nipple position on digital mammograms using genetic algorithm for asymmetry approach to detection of microcalcifications.
Performance comparison between two algorithms it is observed that modified algorithm the number of ridges increases with respect to the conventional genetic algorithm; the number of individuals located near the crests is greater in the modified algorithm, and it shows greater convergence towards the optimal ones to be located.
To improve the existing results and hasten the convergence of the GA, we propose to employ a hybrid optimization algorithm (Hybrid Optimization Algorithm--HOA), which is composed of Genetic Algorithm and SpaceFilling Curves.
In paper [50] a hybridization between a genetic algorithm (GA) and an iterative method for solving a system of nonlinear equations, is proposed.
2005." Simple Genetic Algorithm Search for Critical Non-Circular Failure Surface in Slope Stability Analysis." Computers and Geotechnics 32 (3): 139-152.
This study aimed to propose the use of artificial intelligence via artificial neural networks and genetic algorithms in the simulation of oat grain yield and optimization of seeding density, respectively, in the main succession systems of southern Brazil.
However, the computational thermal efficiency of genetic algorithm is worse than that of pattern search algorithm.
Genetic Algorithm. Genetic algorithms provide an accurate and fast solution for optimization problems.

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