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221“…Here, we developed a molecular dynamics (MD) approach named supervised (Su) Gaussian accelerated MD (GaMD) by incorporating a tabu-like supervision algorithm into a standard GaMD simulation. …”
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222por Pochintesta, Paula“…Por último, se concluye que la organización del final de la vida comprende un proceso, tanto inter como intrasubjetivo, que se aleja de la concepción de la muerte como tabú.…”
Publicado 2013
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223“…Harmony search algorithm (HSA) is improved for quickly finding the most likely candidate models among all two-locus models, in which a local search algorithm with two-dimensional tabu table is presented to avoid repeatedly evaluating some disease models that have strong marginal effect. …”
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224por Pan, Jinhua, Ren, Zeping, Li, Wenhan, Wei, Zhen, Rao, Huaxiang, Ren, Hao, Zhang, Zhuang, Song, Weimei, He, Yuling, Li, Chenglian, Yang, Xiaojuan, Chen, LiMin, Qiu, Lixia“…This study aimed to obtain the prevalence of hyperlipidemia and its related factors in Shanxi Province, China using multivariate logistic regression analysis and tabu search-based Bayesian networks (BNs). A multi-stage stratified random sampling method was adopted to obtain samples among the general population aged 18 years or above. …”
Publicado 2018
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225“…We design and implement a Tabu-based meta-heuristic algorithm to solve the proposed mixed integer linear program (MILP). …”
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226“…Bayesian network structures involving the genomic component of six latent variables were established by fitting four algorithms (i.e., Hill Climbing, Tabu, Max-Min Hill Climbing, and General 2-Phase Restricted Maximization algorithms). …”
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227“…The DSS is based on a Tabu Search metaheuristic that specifically aims to deal with the peculiarities of urban regions. …”
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228“…Then, an improved genetic algorithm with two-stage heuristic mutation scheduling strategy and tabu search for local optimization (GA-2HMS&TS) is designed to solve the proposed model. …”
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229“…The interaction between candidate solutions is limited with the closest neighbors by considering the Euclidean distance. Furthermore, Tabu Search Algorithm and Elitism selection approach inspire the memory usage of the proposed algorithm. …”
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230“…In addition, numerical experimentation was also carried out with benchmark instances to identify, among available and literature-recommended solution algorithms and an effective tailored Tabu Search implementation, those that perform best for this type of problems.…”
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232“…To evaluate the effectiveness of the model and algorithm, the improved NSGA-II was compared with two other methods: multi-objective simulated annealing (MOSA) and multi-objective Tabu search (MOTS). Drawing on data from real cases at a hospital in Lyon, France, the NSGA-II, while catering to patient requirements, saves 9.8% and 5.1% of ICU beds compared to MOSA and MOTS. …”
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233“…Several causal discovery frameworks were applied, comprising Generalized Correlations (GC), Causal Additive Modeling (CAM), Fast Greedy Equivalence Search (FGES), Greedy Fast Causal Inference (GFCI), and two score-based Bayesian network learning algorithms: Hill-Climbing (HC) and Tabu Search. The discovery of cardiorespiratory paths appears ambiguous. …”
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234“…To solve the aforementioned problems, this paper first proposed a DETS based on hybrid tabu search and differential evolution algorithms (DEAs), which has excellent optimization ability. …”
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235“…For the subproblems of demand point reassignment and two-batch routing whose complexities are significantly lower, we propose variable neighborhood tabu search heuristics to efficiently solve them. …”
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236por Fan, Ze-Xin, Wang, Chao-Bin, Fang, Li-Bo, Ma, Lin, Niu, Tian-Tong, Wang, Ze-Yi, Lu, Jian-Feng, Yuan, Bo-Yi, Liu, Guang-Zhi“…A BN model was established using the Tabu search algorithm with the training set data and verified with the test set data. …”
Publicado 2022
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237por Ma, Lin, Cai, Bin, Qiao, Man-Li, Fan, Ze-Xin, Fang, Li-Bo, Wang, Chao-Bin, Liu, Guang-Zhi“…The BN model was constructed using the tabu search algorithm, and the conditional probability of each node was calculated using the maximum likelihood estimation method. …”
Publicado 2023
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238“…The structural learning of BNs was achieved using Tabu algorithm and the parameter learning was conducted using maximum likelihood estimation. …”
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239“…Subsequently, the identified combinations are used as an input into a Tabu Search strategy, where the vehicle routing is optimized. …”
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240por Ruiz-Pérez, Iñaki, Ayala, Francisco, Puerta, José Miguel, Elvira, Jose L. L., De Ste Croix, Mark, Hernández-Sánchez, Sergio, Vera-Garcia, Francisco Jose“…A feature selection process was carried out before building a BN (using the Tabu search algorithm) for each leg. The BN models built were used to make belief updating processes to study the individual and concurrent contributions of the selected parameters of neuromuscular performance on dynamic postural control. …”
Publicado 2019
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