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13篇 您的检索式:作者名="YEPES V"
    题名 作者 年代 出处 被引量
1Complete fuzzy scheduling and fuzzy earned value management in construction projects显示文摘This paper aims to present a comprehensive proposal for project scheduling and control by applying fuzzy earned value.It goes a step further than the existing literature:in the formulation of the fuzzy earned value we consider not only its duration,but also cost and production,and alternatives in the scheduling between the earliest and latest times.The mathematical model is implemented in a prototypical construction project with all the estimated values taken as fuzzy numbers.Our findings suggest that different possible schedules and the fuzzy arithmetic provide more objective results in uncertain environments than the traditional methodology.The proposed model allows for controlling the vagueness of the environment through the adjustment of the α-cut,adapting it to the specific circumstances of the project.José Luís PONZ-TIENDA Eugenio PELLICER Víctor YEPES 2012Journal of Zhejiang University-Science A(Applied Physics & Engineering)2012,13,1:9
2Global motion estimation from coarsely sampled motion vector field and the applications显示文摘Su Yeping Sun Mingting Hsu V 2005IEEE Transactions on Circuits and Systems for Video Technology2005,15,2:1
3Biolistic transformation of chrysanthemum with the nucleocapsid gene of tomato spotted wilt virus 显示文摘Yepes L C Mittak V Pang S Z 1995Plant Cell Reports1995,14,:1
4Biolistie transformation of Chrysanthemum with the nueleocapsid gene of tomato spotted wilt virus 显示文摘YEPES L M MITTAK V PANG S Z 1995Plant Cell Reports1995,14,11:1
5Biolistic Transformation of Chrysanthemum with the Nucleocapsid Gene of Tomato Spotted Wilt Virus显示文摘YEPES L M MITTAK V PANG S Z 1995Plant Cell Reports1995,14,11:1
6The resource leveling problem with multiple resources using an adaptive genetic al- gorithm 显示文摘PONZ - TIENDA J L YEPES V PELLICER E ct al 2013Automation in Construction2013,,29:1
7The resource leveling problem with multiple resources using an adaptive genetic algorithm显示文摘Ponz-Tienda J L Yepes V Pellicer E 2013Automation in Construction2013,29,1:1
8Biolistic transformation of chrysanthemum with the nucleocapsid gene of tomato spotted wilt virus 显示文摘YEPES L M MITTAK V PANG S Z 1995Plant Rep1995,14,:1
9Biolistic transformation of chrysanthemum with the nucleocapsid gene of tomato spotted wilt virus显示文摘Yepes L M Mittak V Pang S Z 1995Plant Cell Reports1995,14,11:1
10Biolistic transformation of chrysanthemum with the nucleocapsid gene of tomato spotted wilt virus显示文摘Yepes L M Mittak V Pang S Z 1995Plant Cell Reports1995,14,11:1
11Biolistie transformation of chrysanthemum with the nucleoeapsid gene of tomato spotted wilt virus 显示文摘Yepes L M Mittak V Pang S Z 1995Plant Cell Reports1995,14,11:1
12Land use tourism models in Spanish coastal areas:A case study of the Valencia Region显示文摘YEPES V MEDINA J R 2005Journal of Coastal Research2005,49,:1
13Multi-objective optimization design of bridge piers with hybrid heuristic algorithms显示文摘This paper describes one approach to the design of reinforced concrete (RC) bridge piers, using a three-hybrid multi- objective simulated annealing (SA) algorithm with a neighborhood move based on the mutation operator from the genetic algorithms (GAs), namely MOSAMO1, MOSAMO2 and MOSAMO3. The procedure is applied to three objective functions: the economic cost, the reinforcing steel congestion and the embedded CO 2 emissions. Additional results for a random walk and a descent local search multi-objective algorithm are presented. The evaluation of solutions follows the Spanish Code for structural concrete. The methodology was applied to a typical bridge pier of 23.97 m in height. This example involved 110 design variables. Results indicate that algorithm MOSAMO2 outperforms other algorithms regarding the definition of Pareto fronts. Further, the proposed procedure will help structural engineers to enhance their bridge pier designs.Francisco J. MARTINEZ-MARTIN Fernando GONZALEZ-VIDOSA Antonio HOSPITALER Víctor YEPES 2012Journal of Zhejiang University-Science A(Applied Physics & Engineering)2012,13,6:0
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