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21por Suganthi, Sundararaj, Umapathi, Nagappan, Mahdal, Miroslav, Ramachandran, Manickam“…The obtained results show that the MSO-Tabu approach has a 14%, 5%, 11%, and 4% higher number of clusters and a 20%, 6%, 14%, and 6% lesser average packet loss rate as compared to a genetic algorithm (GA), differential evolution (DE), Tabu, and MSO based clustering, respectively. …”
Publicado 2022
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22“…RESULTS: In this paper, particle swarm optimization and tabu search are combined to propose a new method for protein structure prediction. …”
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23por Song, Wenzhu, Qin, Zhiqi, Hu, Xueli, Han, Huimin, Li, Aizhong, Zhou, Xiaoshaung, Li, Yafeng, Li, Rongshan“…Besides, the performance of Tabu Search-based BNs is better than Hill Climbing-based BNs. …”
Publicado 2023
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24“…To overcome the computational complexity of an exact resolution, we propose an original pseudo-random approach based on the Tabu Search heuristic. Simulations show that our proposal achieves better performances than several other approaches proposed in the literature. …”
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25“…In this paper, we propose a hybrid technique to overcome the weakness of classical BBO algorithm to solve QAP, by replacing the mutation operator with a tabu search procedure. Our experiments using the benchmark instances from QAPLIB show that the proposed hybrid method is able to find good solutions for them within reasonable computational times. …”
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26“…DCVRPSDO is a new type of VRP. A new tabu search algorithm is designed to solve the problem and the examples testing show the efficiency of the proposed algorithm. …”
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27por Pan, Jinhua, Rao, Huaxiang, Zhang, Xuelei, Li, Wenhan, Wei, Zhen, Zhang, Zhuang, Ren, Hao, Song, Weimei, Hou, Yuying, Qiu, Lixia“…The study aimed to study the related factors of hypertension using multivariate logistic regression analysis and tabu search-based Bayesian Networks (BNs). A cluster random sampling method was adopted to obtain samples of the general population aged 15 years or above. …”
Publicado 2019
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28por Guo, Yang, Zhong, Zhiman, Yang, Chen, Hu, Jiangfeng, Jiang, Yaling, Liang, Zizhen, Gao, Hui, Liu, Jianxiao“…This work proposes an epistasis mining approach based on genetic tabu algorithm and Bayesian network (Epi-GTBN). It uses genetic algorithm into the heuristic search strategy of Bayesian network. …”
Publicado 2019
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30“…This paper proposes a time difference of arrival (TDOA) passive positioning sensor selection method based on tabu search to balance the relationship between the positioning accuracy of the sensor network and system consumption. …”
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32“…These kinetic parameters were implemented in tabu search algorithm and this programme was executed in Dev-C++, optimal control profiles were generated as a result. …”
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33“…In this paper, in view of its non-deterministic polynomial properties, a multi-agent genetic algorithm based on tabu search (MAGATS) is proposed to solve JSSPs under makespan constraints. …”
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34por Chang, Wenbing, Ji, Xinpeng, Xiao, Yiyong, Zhang, Yue, Chen, Bang, Liu, Houxiang, Zhou, Shenghan“…We first proposed a gain sequence forward tabu search feature selection (GSFTS-FS) method, which can search the optimal combination of medical variables that affect hypertension outcomes. …”
Publicado 2021
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35por Cuevas Castelán, Karen HappethMaterias: Enlace del recurso
Publicado 2021
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36por Escamilla Serna, Nayeli Jazmin, Seck-Tuoh-Mora, Juan Carlos, Medina-Marin, Joselito, Hernandez-Romero, Norberto, Barragan-Vite, Irving, Corona Armenta, Jose Ramon“…The GLNSA algorithm is accompanied by a tabu search that implements a simplified version of the Nopt1 neighborhood defined in Mastrolilli & Gambardella (2000) to complement the optimization task. …”
Publicado 2021
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37“…In this paper, we propose a new hybrid algorithm HICATS incorporating imperialist competition algorithm (ICA) which performs global search and tabu search (TS) that conducts fine-tuned search. …”
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38por Doubla, Isaac Sami, Njitacke, Zeric Tabekoueng, Ekonde, Sone, Tsafack, Nestor, Nkapkop, J. D. D., Kengne, Jacques“…In this paper, the dynamics of a non-autonomous tabu learning two-neuron model is investigated. The model is obtained by building a tabu learning two-neuron (TLTN) model with a composite hyperbolic tangent function consisting of three hyperbolic tangent functions with different offsets. …”
Publicado 2021
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39por Fang, Chengzhi, Chen, Yushen, Deng, Xiaolei, Lin, Xiaoliang, Han, Yue, Zheng, Junjian“…The penalty factor and decomposition level of VMD parameters are selected by the optimization algorithm by combining the whale optimization algorithm (WOA) and tabu search (TS). The minimum permutation entropy of IMF is used as the fitness function of the proposed fusion algorithm. …”
Publicado 2023
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