Precise makespan optimization via hybrid genetic algorithm for scientific workflow scheduling problem [PDF]
, 2023 Pablo Barredo, Jorge Puente
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A genetic-based algorithm for personalized resistance training
Biology of Sport, 2016 Association studies have identified dozens of genetic variants linked to training responses and sport-related traits. However, no intervention studies utilizing the idea of personalised training based on athlete’s genetic profile have been conducted ...
N Jones +6 more
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Gamma-Ray Spectral Unfolding of CdZnTe-Based Detectors Using a Genetic Algorithm
Sensors, 2020 The analysis of γ-ray spectra can be an arduous task, especially in the case of room temperature semiconductor detectors, where several distortions and instrumental artifacts conceal the true spectral shape.
Nicola Sarzi Amadè +5 more
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Population-less Genetic Algorithm? Investigation of Non-dominated Tournament Genetic Algorithm (NTGA2) for multi-objective optimization [PDF]
Annals of computer science and information systems, 2023 Michał Antkiewicz, Pawel Myszkowski
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A GPU accelerated hybrid GA-SVM for large scale datasets: Cu-GA-SVM
Gazi Üniversitesi Fen Bilimleri Dergisi, 2018 In this study, CUDA based speed optimization of a hybrid method consisting of Genetic Algorithm and Support Vector Machines has been performed. In machine learning, it is aimed to achieve high accuracy values from the developed methods.
Musa PEKER, Osman ÖZKARACA
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Optimization of Multi-Mission CubeSat Constellations with a Multi-Objective Genetic Algorithm [PDF]
, 2023 Shimeles Demissie Melaku, Hae‐Dong Kim
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Jurnal Teknik Industri, 2007 This paper discusses the application of Robust Hybrid Genetic Algorithm to solve a flow-shop scheduling problem. The proposed algorithm attempted to reach minimum makespan. PT.
Johan Soewanda +2 more
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Predictive Model for End Aim Temperature of Arc Furnace Based on Hybrid Genetic Algorithm
Teshugang, 2007 BP ( Back Propagation) algorithm and genetic algorithm are combined into hybrid genetic algorithm of which the algorithm steps are first to locate a favorable searching region by genetic algorithm, then to search optimal coefficients in the located ...
姜静, 李华德, 孙铁, 姜琳
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A Survey of Identification Experimental System Parameters Using Genetic Algorithm [PDF]
Robotica & ManagementSystem parameter identification is the process of finding system parameters to convert physical control signals (usually torque) from theoretical controllers into signals that the hardware can generate for communication connected to model’s executive ...
Trong-Bang Tran +7 more
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Improving the Performance of Multiobjective Genetic Algorithms: An Elitism-Based Approach [PDF]
, 2020 Giorgio Guariso, Matteo Sangiorgio
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