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Linkage Learning Genetic Algorithm
In order to handle linkage evolution and to tackle the ordering problem, Harik [47] took Holland’s call [53] for the evolution of tight linkage quite...
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Semi-supervised clustering ensemble based on genetic algorithm model
Clustering ensemble can be regarded as a mathematical optimization problem, and the genetic algorithm has been widely used as a powerful tool for...
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Convergence Time for the Linkage Learning Genetic Algorithm
As indicated in the previous chapter, inspired by the coding mechanism existing in genetics, introducing the use of promoters in the linkage learning...
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Artificial Intelligence—Genetic Algorithm
In the realm of artificial intelligence (AI), genetic algorithm (GA) is a powerful problem-solving technique rooted in the principles of natural...
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Determining Accurate Patrol Routes Using Genetic Algorithm and Ant Colony
AbstractConventional street patrols by police have exhibited decreasing effectiveness and have become formalistic. However, these patrols play a...
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A Function Fitting System Based on Genetic Algorithm
With the development of science and technology, function fitting has penetrated into various fields of scientific research, scientific and...
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Feature Selection with a Binary Flamingo Search Algorithm and a Genetic Algorithm
In data mining, feature selection (FS) has become a significant data pre-processing tool that maximises the model's generalisation and minimises the...
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A genetic algorithm for rule extraction in fuzzy adaptive learning control networks
This paper presents a novel approach, dubbed Falcon-GA, for rule extraction in a Fuzzy Adaptive Learning Control Network (FALCON) using a Genetic...
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Hybrid priority-based genetic algorithm for limited-view computed tomography
Computed Tomography (CT) is a non-invasive testing technique that can be used to determine any object’s internal structures. It has a wide range of...
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A genetic algorithm-based dendritic cell algorithm for input signal generation
The dendritic cell algorithm (DCA) is a classification algorithm based on the biological antigen presentation process. Its classification efficiently...
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Fast segmentation algorithm of PCB image using 2D OTSU improved by adaptive genetic algorithm and integral image
2D OTSU achieves good image segmentation performance in thresholding-based segmentation tasks. However, for the real-time detection of printed...
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PyGAD: an intuitive genetic algorithm Python library
This paper introduces PyGAD, an open-source easy-to-use Python library for building the genetic algorithm (GA) and solving multi-objective...
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Zigzag mutation: a new mutation operator to improve the genetic algorithm
Genetic algorithm is an exploratory method inspired by Darwin's theory of natural evolution. This algorithm reflects the natural selection process in...
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Genetic-Based Algorithm for Task Scheduling in Fog–Cloud Environment
Over the past few years, there has been a consistent increase in the number of Internet of Things (IoT) devices utilizing Cloud services. However,...
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Advanced CNN based on genetic algorithm to automated femoral neck fracture classification
In this study, we propose an efficient fusion framework that utilizes deep learning and a genetic algorithm for the classification of femoral neck...
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Architecture search of accurate and lightweight CNNs using genetic algorithm
Convolutional neural networks (CNNs) are popularly-used in various AI fields, yet the design of CNN architectures heavily depends on domain...
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Modified genetic algorithm to solve worker assignment problem with time windows
In recent years, the demand for electronic products has been increasing rapidly. T mounting technology (SMT) line is one of the production areas for...
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GAAMmf: genetic algorithm with aggressive mutation and decreasing feature set for feature selection
This paper introduces a modified version of a genetic algorithm with aggressive mutation (GAAM), one of the genetic algorithms (GAs) used for feature...
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Privacy-preserving data publishing: an information-driven distributed genetic algorithm
The privacy-preserving data publishing (PPDP) problem has gained substantial attention from research communities, industries, and governments due to...
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A Bilevel Genetic Algorithm for Global Optimization Problems
Genetic algorithm is an important intelligent optimization algorithm that operates on specific population by simulating the natural evolution process...