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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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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Optimization of Multiple Traveling Salesman Problem Based on Simulated Annealing Genetic Algorithm
MATEC Web of Conferences, 2017 It is very effective to solve the multi variable optimization problem by using hierarchical genetic algorithm. This thesis analyzes both advantages and disadvantages of hierarchical genetic algorithm and puts forward an improved simulated annealing ...
Xu Mingji, Li Sheng, Guo Jian
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A Novel RPL Algorithm Based on Chaotic Genetic Algorithm
Sensors, 2018 RPL (routing protocol for low-power and lossy networks) is an important candidate routing algorithm for low-power and lossy network (LLN) scenarios. To solve the problems of using a single routing metric or no clearly weighting distribution theory of ...
Yanan Cao, Muqing Wu
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Nonuniform antenna array design by parallelizing three-parent crossover genetic algorithm
EURASIP Journal on Wireless Communications and Networking, 2017 Antenna plays a very important role in wireless communication. Array elements laid out nonuniformly could achieve better frequency reliability and lower sidelobe level than uniform spaced elements.
Xin Zhang, Qinglian Zhang, Xiu Zhang
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