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A novel DIO optimized sigmoid-activated 2DOF-PID controller for robust control of magnetic levitation systems. [PDF]
Sci RepÖkten İ.
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Nonlinear Multiobjective Optimization
Profiles in Operations Research, 1998Kaisa Miettinen
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Nonlinear Response Topology Optimization Using Equivalent Static Loads—Case Studies
Engineering Optimization, 2017 Nonlinear structural optimization is fairly expensive and difficult, because a large number of nonlinear analyses is required due to the large number of design variables involved in topology optimization.
Tipu Sultan, Zeshan Ahmad, Matteo Zoppi
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Optimization for Nonlinear Stability
Civil-Comp Proceedings, 1988Abstract This paper is concerned with the optimal design of trusses to withstand nonlinear stability requirements. While basically a geometrically nonlinear problem, nonlinear stability accounts for large rotations and equilibrium in the deformed state in contrast to linear stability which results in a generalized eigenvalue problem and handles small
Robert Levy, Huei-Shiang Perng
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Nonlinear Optimization, Quadrature, and Interpolation
SIAM Journal on Optimization, 1999We present a nonlinear optimization procedure for the design of generalized Gaussian quadratures for a fairly broad class of functions. While some of the components of the algorithm have been published previously, we introduce an improved procedure for the determination of an acceptable initial point for the continuation scheme that stabilizes the ...
Hongwei Cheng +2 more
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2018 IEEE Congress on Evolutionary Computation (CEC), 2018
We propose a novel optimization algorithm which named Nonlinear Map-model Optimization (abbr. NMO) method. The NMO is classified as swarm intelligence (abbr. SI) optimizer and consists of some search individuals whose dynamics is driven by a simple nonlinear map. The search point distribution is controlled by the simple nonlinear map.
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We propose a novel optimization algorithm which named Nonlinear Map-model Optimization (abbr. NMO) method. The NMO is classified as swarm intelligence (abbr. SI) optimizer and consists of some search individuals whose dynamics is driven by a simple nonlinear map. The search point distribution is controlled by the simple nonlinear map.
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2010
Lectures given at the CIME Summer Shool held in Cetraro, Italy, July 01-07, 2007.
G. Di Pillo, SCHOEN, FABIO
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Lectures given at the CIME Summer Shool held in Cetraro, Italy, July 01-07, 2007.
G. Di Pillo, SCHOEN, FABIO
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Nonlinear leastpth optimization and nonlinear programming
Mathematical Programming, 1977Over the past few years a number of researchers in mathematical programming became very interested in the method of the Augmented Lagrangian to solve the nonlinear programming problem. The main reason being that the Augmented Lagrangian approach overcomes the ill-conditioning problem and the slow convergence of the penalty methods.
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