Results 21 to 30 of about 616,341 (232)
Parameter Selection in Genetic Algorithms [PDF]
Journal of Systemics, Cybernetics and Informatics, 2004 In this study, we provide a new taxonomy of parameters of genetic algorithms (GA), structural and numerical parameters, and analyze the effect of numerical parameters on the performance of GA based simulation optimization applications with experimental ...
Onur BOYABATLI, Ihsan SABUNCUOGLU
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Quantum Genetic Algorithms for Computer Scientists
Computers, 2016 Genetic algorithms (GAs) are a class of evolutionary algorithms inspired by Darwinian natural selection. They are popular heuristic optimisation methods based on simulated genetic mechanisms, i.e., mutation, crossover, etc.
Rafael Lahoz-Beltra
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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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Qualified Genetic Algorithms for Images Smoothing [PDF]
المجلة العراقية للعلوم الاحصائية, 2008 Four types of algorithms are suggested in this paper to smooth images; three of them work in the special domain and the fourth works in the frequency domain.
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ASSESSING SOFTWARE RELIABILITY USING GENETIC ALGORITHMS
The Journal of Engineering Research, 2019 The role of software reliability and quality improvement is becoming more important than any other issues related to software development. To date, we have various techniques that give a prediction of software reliability like neural networks, fuzzy ...
Rachna Jain, Arun Sharma
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A Genetic Algorithm for the Maximum 2–Packing Set Problem
International Journal of Applied Mathematics and Computer Science, 2020 Given an undirected connected graph G = (V, E), a subset of vertices S is a maximum 2-packing set if the number of edges in the shortest path between any pair of vertices in S is at least 3 and S has the maximum cardinality.
Trejo-Sánchez Joel Antonio +2 more
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Multidimensional crossover in genetic algorithms
Journal of Numerical Analysis and Approximation Theory, 1999 Not available.
Márton-Ernö Balázs
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Chemometrics: From classical to genetic algorithms
Grasas y Aceites, 2002 In this paper the fundamentals of Chemometrics are presented, by means of a quick overview of the most relevant techniques for data display, classification, modeling and calibration.
Riccardo Leardi
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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 ...
Huu Phuoc Le +3 more
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DESIGN OPTIMIZATION OF MECHANICAL SYSTEMS USING GENETIC ALGORITHMS
Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2003 This papeı- prcsents an algorithnı foı· thedesign of minimum weight of speed reducer., geartrain, subject to a specificd set of constraints.
Hamit SARUHAN, İlyas UYGUR
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