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Research On Energy-saving Operation Of High-speed Trains Based On Improved Genetic Algorithm
Journal of Applied Science and Engineering, 2022 The traditional genetic algorithm has been widely used in energy-saving optimization of train operation, but due to the uncertainty of the evolution direction of it’s population chromosomes, it has caused some problems such as a large amount of local ...
Hongxia Niu, Tao Hou, Yu Chen
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Genetic Algorithm for variable selection
, 2022 This study aims to explore the coding of GA for variable selection. The selected variables will be later used to build a linear regression model and then report model performance. The study will consider three simple variations of GA based on population size (20, 50, 200) and then plot graphs to show whether any of these variations performed better ...
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Self-Tune Linear Adaptive-Genetic Algorithm for Feature Selection
IEEE Access, 2019 Genetic algorithm (GA) is an established machine learning technique used for heuristic optimisation purposes. However, this natural selection-based technique is prone to premature convergence, especially of the local optimum event.
Ching Sheng Ooi +2 more
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Biology, 2023 Microsatellites are polymorphic and cost-effective. Optimizing reduced microsatellite panels using heuristic algorithms eases budget constraints in genetic diversity and population genetic assessments.
Ryan Rasoarahona +13 more
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Hybrid Based Selective Genetic Algorithm
International Journal of Engineering Research and Advanced Technology, 2022 Wireless Sensor Network WSN deployment is an active research area. Its goal is to deploy sensors in certain environment efficiently to optimize some evaluation measures. Meta heuristic searching optimization approaches have been proven to be effective in solving WSN deployment problem. They have strong power in exploring
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An improved genetic algorithm for optimizing ensemble empirical mode decomposition method
Systems Science & Control Engineering, 2019 This paper proposes an improved ensemble empirical mode decomposition method based on genetic algorithm to solve the mode mixing problem in empirical mode decomposition (EMD) algorithm as well as the parameters selection issue in ensemble empirical mode ...
Dabin Zhang +3 more
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Warehouse location optimization in fresh cold chain logistics based on PSO-GA
International Journal for Simulation and Multidisciplinary Design OptimizationThis study focuses on the site selection problem of fresh cold chain logistics warehouses, using a site selection model to minimize operating costs, improve distribution efficiency, and meet customer needs.
Guo Lina, Wei Yi
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Modelling of a Roulette Wheel Selection Operator in Genetic Algorithms Using Generalized Nets [PDF]
Bioautomation, 2009 The apparatus of Generalized Nets (GN) is applied here to a description of a selection operator, which is one of the basic genetic algorithm operators. The GN model presented here describes roulette wheel selection.
Pencheva T., Atanassov K., Shannon A.
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Feature Selection for Image Retrieval based on Genetic Algorithm
International Journal of Interactive Multimedia and Artificial Intelligence, 2016 This paper describes the development and implementation of feature selection for content based image retrieval. We are working on CBIR system with new efficient technique. In this system, we use multi feature extraction such as colour, texture and shape.
Rashmi R. Welekar, Preeti Kushwaha
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Egyptian Informatics Journal, 2020 Genetic diseases are one of the most critical diseases facing human societies, their risk lies in the transmission of genetic characteristics from one generation to another, where the imbalance of these characteristics leads to an unhealthy offspring ...
Mohamed A. El-Rashidy
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