@article{(Open Science Index):https://publications.waset.org/pdf/9998943,
	  title     = {Detection ofTensile Forces in Cable-Stayed Structures Using the Advanced Hybrid Micro-Genetic Algorithm},
	  author    = {Sang-Youl Lee},
	  country	= {},
	  institution	= {},
	  abstract     = {This study deals with an advanced numerical
techniques to detect tensile forces in cable-stayed structures. The
proposed method allows us not only to avoid the trap of minimum at
initial searching stage but also to find their final solutions in better
numerical efficiency. The validity of the technique is numerically
verified using a set of dynamic data obtained from a simulation of the
cable model modeled using the finite element method. The results
indicate that the proposed method is computationally efficient in
characterizing the tensile force variation for cable-stayed structures.
	    journal   = {International Journal of Architectural and Environmental Engineering},
	  volume    = {8},
	  number    = {7},
	  year      = {2014},
	  pages     = {821 - 824},
	  ee        = {https://publications.waset.org/pdf/9998943},
	  url   	= {https://publications.waset.org/vol/91},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 91, 2014},