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» A Second Derivative SQP Method: Global Convergence
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CEC
2007
IEEE
13 years 6 months ago
Hybrid optimization using DIRECT, GA, and SQP for global exploration
— As there are many good optimization algorithms each with its own characteristics, it is very difficult to choose the best method for optimization problems. Thus, it is importa...
Satoru Hiwa, Tomoyuki Hiroyasu, Mitsunori Miki
SIAMJO
2011
12 years 11 months ago
Adaptive Multilevel Inexact SQP Methods for PDE-Constrained Optimization
We present a class of inexact adaptive multilevel trust-region SQP-methods for the efficient solution of optimization problems governed by nonlinear partial differential equations...
J. Carsten Ziems, Stefan Ulbrich
CEC
2008
IEEE
13 years 11 months ago
A study on constrained MA using GA and SQP: Analytical vs. finite-difference gradients
— Many deterministic algorithms in the context of constrained optimization require the first-order derivatives, or the gradient vectors, of the objective and constraint function...
Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soo...
SIAMJO
2002
133views more  SIAMJO 2002»
13 years 4 months ago
SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization
Abstract. Sequential quadratic programming (SQP) methods have proved highly effective for solving constrained optimization problems with smooth nonlinear functions in the objective...
Philip E. Gill, Walter Murray, Michael A. Saunders
ICASSP
2011
IEEE
12 years 8 months ago
Fast algorithm for beamforming problems in distributed communication of relay networks
A sequential quadratic programming (SQP) method is proposed to solve the distributed beamforming problem in multiple relay networks. The problem is formulated as the minimization ...
Cong Sun, Yaxiang Yuan