全部文献期刊会议图书|学者科研项目
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作者:Mohammad Mahdi Paydar , Mohammad Saidi-Mehrabad
来源:[J].The International Journal of Advanced Manufacturing Technology(IF 1.205), 2017, Vol.92 (5-8), pp.3001-3017
摘要:... To solve the real-sized problems of proposed model, a hybrid metaheuristic algorithm is extended. The results demonstrate that the proposed hybrid genetic algorithm is promising.
作者:İlknur Kaftan
来源:[J].Acta Geophysica(IF 0.91), 2017, Vol.65 (4), pp.627-634
摘要:A genetic algorithm (GA) is an artificial intelligence method used for optimization. We applied a GA to the inversion of magnetic anomalies over a thick dike. Inversion of nonlinear geophysical problems using a GA has advantages because it does not require model gradients or wel...
作者:Sigit Yoewono Martowibowo , Agung Kaswadi
来源:[J].Chinese Journal of Mechanical Engineering(IF 0.263), 2017, Vol.30 (2), pp.398-406
摘要:... The genetic algorithm method and Moldflow were used to optimize the injection process parameters at a minimum cycle time. It is found that, an optimum injection molding processes could be obtained by setting the parameters to the following values: T M = 180 °C...
作者:Asrin Bahmani , Saadi Saaidpour , Amin Rostami
来源:[J].Chromatographia(IF 1.437), 2017, Vol.80 (4), pp.629-636
摘要:... By applying a genetic algorithm, the most relevant descriptors were selected to build the QSRR model. The selected descriptors were: Hosoya Index, kappa1, and most negative potential. The prediction results from the BP-ANN were in good agreement with the experimental val...
作者:Biswanath Chowdhury , Arnav Garai , Gautam Garai
来源:[J].BMC Bioinformatics(IF 3.024), 2017, Vol.18 (1)
摘要:Detection of important functional and/or structural elements and identification of their positions in a large eukaryotic genomic sequence are an active research area. Gene is an important functional and structural unit of DNA. The computation of gene prediction is, therefore, ver...
作者:Kun Li , Shilin Yan , Wenfeng Pan ...
来源:[J].The International Journal of Advanced Manufacturing Technology(IF 1.205), 2017, Vol.90 (1-4), pp.963-970
摘要:... The combined back propagation neural network (BPNN) and genetic algorithm (GA) approach is proposed to optimize the fiber-reinforced composite injection molding process. On the basis of orthogonal experiment design, Moldflow software is applied in the short fiber-reinforced c...
作者:Qi Gao , Gordon R. Chalmers , Kelley W. Moremen ...
来源:[J].Journal of Biomolecular NMR(IF 2.845), 2017, Vol.67 (4), pp.283-294
摘要:... A genetic algorithm uses the scores to search for an optimal pairing of HSQC crosspeaks with labeled sites. While none of the individual data types can give a definitive assignment for a particular site, their combination can in most cases. Four test proteins previously assig...
作者:Hanen Chaouch , Tawfik Najeh , Lotfi Nabli
来源:[J].The International Journal of Advanced Manufacturing Technology(IF 1.205), 2017, Vol.91 (1-4), pp.869-878
摘要:This paper characterizes an approach to data compression and defect isolation for the multi-variable process by introducing the wavelet principal component analysis (PCA) and the genetic algorithms. In the defect analysis process, data compression is a critical phase. In our case...
作者:B. Senthilkumar , T. Kannan , R. Madesh
来源:[J].The International Journal of Advanced Manufacturing Technology(IF 1.205), 2017, Vol.93 (1-4), pp.35-41
摘要:... Then, the responses were optimized using non-traditional nature-inspired technique like genetic algorithm (GA).
作者:Joby Joseph , S. Muthukumaran
来源:[J].The International Journal of Advanced Manufacturing Technology(IF 1.205), 2017, Vol.93 (1-4), pp.23-34
摘要:... Response surface methodology was used to create regression equations, and process parameters were optimized using genetic algorithm (GA) and simulated annealing (SA). Process parameter optimization is multi-input to single output (tensile strength), in which the quality of ou...

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