Results 1 to 10 of about 3,829,483 (294)
Population Symmetrization in Genetic Algorithms
The paper presents a memetic modification of the classical genetic algorithm by introducing a cyclic symmetrization of the population, symmetrizing the parental points around the current population leader.
Grzegorz Kusztelak +2 more
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Non-uniform cellular genetic algorithms [PDF]
In this paper, we introduce the concept of non-uniform cellular genetic algorithm, in which a number of parameters that affect the operation of genetic operators is dependent on the location of the cells of a given cellular space.
N. M. Ershov
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Self-selection of evolutionary strategies: adaptive versus non-adaptive forces
The evolution of complex genetic networks is shaped over the course of many generations through multiple mechanisms. These mechanisms can be broken into two predominant categories: adaptive forces, such as natural selection, and non-adaptive forces, such
Matthew Putnins, Ioannis P. Androulakis
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Fuzzy Approach to Student-Project Allocation (SPA) Problem
This paper presents a novel algorithm for solving a Student-Project Allocation problem, a variation of a two-sided matching algorithm, where a large number of students are allocated to numerous projects with limited available allocation places.
V. Paunovic +3 more
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The performance of the distributed coherent aperture radar (DCAR) is heavily influenced by the antenna positions. Therefore, an antenna position optimization method is proposed based on the adaptive genetic algorithm with a self‐supervised differential ...
Xiaopeng Yang +5 more
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Zooming in, Zooming Out: A Framework for Hierarchical Genetic Algorithms [PDF]
We present a framework of algorithms and techniques involving hierarchical genetic algorithms. These algorithms attempt to generate models and solutions at both the structural and atomic levels simultaneously using atomic and global chromosomes.
Jennifer Seitzer
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A new method for decoding an encrypted text by genetic algorithms and its comparison with tabu search and simulated annealing [PDF]
Genetic Algorithm is an algorithm based on population and many optimization problems are solved with this method, successfully. With increasing demand for computer attacks, security, efficient and reliable Internet has increased.
Mahdi Sadeghzadeh, Mahsa Taherbaghal
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Cosmological Parameter Estimation with Genetic Algorithms
Genetic algorithms are a powerful tool in optimization for single and multimodal functions. This paper provides an overview of their fundamentals with some analytical examples.
Ricardo Medel-Esquivel +4 more
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An Automatic Document Classifier System Based on Genetic Algorithm and Taxonomy
The use of the Web has increased the creation of digital information in an accelerated way and about multiple subjects. Text classification is widely used to filter emails, classify Web pages, and organize results retrieved by Web browsers. In this paper,
Alan Diaz-Manriquez +4 more
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The Use of Genetic Algorithms for Searching Parameter Space in Gaussian Process Modeling
The aim of the paper is to present the possibilities of modeling the experimental data by Gaussian processes. Genetic algorithms are used for finding the Gaussian process parameters.
Agnieszka Krok
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