全部文献期刊会议图书|学者科研项目
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作者:Alejandro Alvarado-Iniesta , Diego A. Tlapa-Mendoza , Jorge Limón-Romero ...
来源:[J].The International Journal of Advanced Manufacturing Technology(IF 1.205), 2017, Vol.91 (9-12), pp.4117-4126
摘要:This paper presents a hybrid of genetic programming (GP) and reference-point-based non-dominated sorting genetic algorithm (R-NSGA-II) for the multi-objective optimization of an aluminum torch brazing process for the fabrication of condensers for the automotive industry. The obje...
作者:Mozammel Mia , Md Awal Khan , Saadman Sakib Rahman ...
来源:[J].The International Journal of Advanced Manufacturing Technology(IF 1.205), 2017, Vol.90 (1-4), pp.109-118
摘要:This paper presents the optimization of cutting forces, average surface roughness, cutting temperature, and chip reduction coefficient in turning of Ti-6Al-4V alloy under dry and high pressure coolant (HPC) that is applied at the rake and flank surfaces simultaneously. The experi...
作者:W. D. Cao , C. P. Yan , D. J. Wu ...
来源:[J].The International Journal of Advanced Manufacturing Technology(IF 1.205), 2017, Vol.93 (9-12), pp.4099-4110
摘要:... This paper first proposes a support vector machine/ant lion optimizer/gear hobbing (SVM/ALO/GH) integrated approach to do the multi-objective optimization of machining parameters for solving small sample problem of batch production. The first population of process parameters ...
作者:Hongrui Wang , Hongwei Liu , Leixin Cai ...
来源:[J].BMC Bioinformatics(IF 3.024), 2017, Vol.18 (1)
摘要:... In contrast to the traditional Monte Carlo (MC) and REMC sampling methods, these methods use multi-objective optimization Pareto front information to facilitate the selection of replicas for exchange.
作者:Libin Zhu , Huajun Cao , Haihong Huang ...
来源:[J].The International Journal of Advanced Manufacturing Technology(IF 1.205), 2017, Vol.93 (9-12), pp.3175-3188
摘要:... A multi-objective optimization process is carried out using GA (genetic algorithm) combined with the Euclidean technique and the TOPSIS (technique for order preference by similarity to ideal solution) decision-making method. Exergetic efficiency and total cost rate of the ai...
作者:Satoshi Kitayama , Masaki Yokoyama , Masahiro Takano ...
来源:[J].The International Journal of Advanced Manufacturing Technology(IF 1.205), 2017, Vol.92 (9-12), pp.3991-3999
摘要:... Numerical simulation in the PIM is so intensive that a sequential approximate optimization using radial basis function is adopted. It is found through the numerical result that the variable packing pressure profile can improve both the warpage and the cycle time, compared wit...
作者:Parisa Mojaver , Shahram Khalilarya , Ata Chitsaz
来源:[J].Energy Conversion and Management(IF 2.775), 2020, Vol.203
摘要:... Response surface methodology (RSM) was utilized for multi-objective optimization purpose. The analysis of variance (ANOVA) was performed and different regression models with high validity were presented for power (R 2 = 93.40%) and exergy efficiency (R 2 = 96.22%). The one-ob...
作者:Mohammad Darvish Damavandi , Hamed Safikhani , Mojtaba Yahyaabadi
来源:[J].Journal of the Brazilian Society of Mechanical Sciences and Engineering(IF 0.234), 2017, Vol.39 (6), pp.2319-2329
摘要:This study aims to investigate the multi-objective optimization of airflow within a ribbed channel to achieve the maximum heat transfer and minimum pressure drop. Two rib legs angles with lateral axis of channel, α and β and dimensionless distance of apex of asymmetric v-s...
作者:Mohamed Abouhawwash , Mohammed Jameel , Kalyanmoy Deb
来源:[J].Computers and Operations Research(IF 1.909), 2020, Vol.117
摘要:Abstract(#br)Multi-objective optimization problems give rise to a set of trade-off Pareto-optimal solutions. To evaluate a set-based multi-objective optimization algorithm, such as an evolutionary multi-objective optimization (EMO) algorithm, for its convergence and diversit...
作者:Yunfei Cui , Zhiqiang Geng , Qunxiong Zhu ...
来源:[J].Energy(IF 3.651), 2017
摘要:Abstract(#br)Multi-objective optimization problems are difficult to solve in that the optimized objectives are usually conflicting with each other. It is usually hard to find an optimal solution that satisfies all objectives from the mathematical point of view. Unlike analytical ...

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