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Ammar, Elsaid Ebrahim, 1998, On some basic notions of fuzzy parametric nonsmooth multiobjective nonlinear fractional programming problems. Fuzzy Sets and Systems, 99(3), 291-301.Ammar, E.E.: On some basic notions of fuzzy parametric nonsmooth multiobjective nonlinear fractional programming problems....
2015-CVPR-Efficient and Accurate Approximations of Nonlinear Convolutional Networks [2016 TPAMI version: Accelerating Very Deep Convolutional Networks for Classification and Detection] 2015-CVPR-Sparse Convolutional Neural Networks 2015-ICCV-An Exploration of Parameter Redundancy in Deep Networks with Circulant...
Mangasarian, O.L.: Nonlinear Programming. SIAM Classics in Applied Mathematics, vol. 10. McGraw-Hill, New York (1969). Reprint Philadelphia (1994) Mishra, S.K., Upadhyay, B.B.: Efficiency and duality in nonsmooth multiobjective fractional programming involving \(\eta \)-pseudolinear functions...
On nonlinear fractional programming. Manag Sci. 1967;13(7):492–8. 53. Anzai Y. On integer fractional programming. J Oper Res Soc Jpn. 1974;17(1):49–66. 54. You F, Castro PM, Grossmann IE. Dinkelbach's algorithm as an efficient method to solve a class of minlp models for large-...
Optimal value bounds in nonlinear programming with interval data Top, 19 (2011), pp. 93-106 CrossrefView in ScopusGoogle Scholar [22] M. Hladík Weak and strong solvability of interval linear systems of equations and inequalities Linear Algebra Appl., 438 (2013), pp. 4156-4165 View PDFView...
The minimax optimization problem is reformulated to a nonlinear programming problem with constraints. PSO is used to solve the reformulated problem and priority ranking of constraint fitness is proposed to guarantee that the constraints are satisfied. The results of simulations performed using the ...
For the first sub-subproblem, we transform it into concave function by using the nonlinear fractional programming, which can be effectively solved by the Dinkelbach method [22]. For the second sub-subproblem, we first prove it is convex and then solve it by the bisection method. A full ...
It is defined by replacing all nonlinear constraint sets by their convex hulls. If the convex hulls are disjunctive, e.g. if the MINLP is block-separable, the CHR is equivalent to the convex hull relaxation obtained by (standard) column generation (CG). The CHR can be used for computing ...
Robust control of wind turbines based on fractional nonlinear disturbance observer Asian J. Control, 22 (5) (2019), pp. 1801-1810 Google Scholar Bofeng et al., 2020 Bofeng Xu, Yue Yuan, Haoming Liu, et al. A pitch angle controller based on novel fuzzy-PI control for wind turbine load ...