Results 1 to 10 of about 263,270 (261)
Extending Genetic Algorithms with Biological Life-Cycle Dynamics [PDF]
BiomimeticsIn this paper, we aim to enhance genetic algorithms (GAs) by integrating a dynamic model based on biological life cycles. This study addresses the challenge of maintaining diversity and adaptability in GAs by incorporating stages of birth, growth ...
J. C. Felix-Saul +3 more
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Population Symmetrization in Genetic Algorithms
Applied Sciences, 2022 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]
Компьютерные исследования и моделирование, 2015 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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Fuzzy Approach to Student-Project Allocation (SPA) Problem
IEEE Access, 2019 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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CoRR, 2021 Death has long been overlooked in evolutionary algorithms. Recent research has shown that death (when applied properly) can benefit the overall fitness of a population and can outperform sub-sections of a population that are "immortal" when allowed to evolve together in an environment [1].
Micah Burkhardt, Roman V. Yampolskiy
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Proceedings of the Genetic and Evolutionary Computation Conference, 2017 For genetic algorithms using a bit-string representation of length~$n$, the general recommendation is to take $1/n$ as mutation rate. In this work, we discuss whether this is really justified for multimodal functions. Taking jump functions and the $(1+1)$ evolutionary algorithm as the simplest example, we observe that larger mutation rates give ...
Benjamin Doerr +3 more
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Self-selection of evolutionary strategies: adaptive versus non-adaptive forces
Heliyon, 2021 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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Zooming in, Zooming Out: A Framework for Hierarchical Genetic Algorithms [PDF]
Journal of Systemics, Cybernetics and Informatics, 2014 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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IET Radar, Sonar & Navigation, 2021 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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A new method for decoding an encrypted text by genetic algorithms and its comparison with tabu search and simulated annealing [PDF]
Management Science Letters, 2014 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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