Results 21 to 30 of about 937,465 (286)
Peristaltic crawling robots inspired by the earthworm's motion have been attracting attention as robots for working in hazardous environments or confined spaces.
Tomoki AKIBA, Norihiro KAMAMICHI
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Numerical optimization using flow equations
We develop a method for multidimensional optimisation using flow equations. This method is based on homotopy continuation in combination with a maximum entropy approach. Extrema of the optimising functional correspond to fixed points of the flow equation.
Punk, Matthias
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Robust Iterative Solution of a Class of Time-Dependent Optimal Control Problems [PDF]
The fast iterative solution of optimal control problems, and in particular PDE-constrained optimization problems, has become an active area of research in applied mathematics and numerical analysis.
Pearson, John W. +2 more
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Fokker–Planck Analysis of Superresolution Microscopy Images
A method for the analysis of super-resolution microscopy images is presented. This method is based on the analysis of stochastic trajectories of particles moving on the membrane of a cell with the assumption that this motion is determined by the ...
Mario Annunziato, Alfio Borzì
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Using Gaussian process regression for efficient parameter reconstruction
Optical scatterometry is a method to measure the size and shape of periodic micro- or nanostructures on surfaces. For this purpose the geometry parameters of the structures are obtained by reproducing experimental measurement results through numerical ...
Chisari +12 more
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To overcome the premature convergence caused by the ill-distribution of solutions in the basic Gaussian estimation of distribution algorithm (GEDA), this paper explores a novel GEDA variant with random walk strategies, namely RW-GEDA.
Xiaofei Wang +5 more
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Differential evolution (DE) is one of the most popular and widely used optimizers among the community of evolutionary computation. Despite numerous works having been conducted on the improvement of DE performance, there are still some defects, such as ...
Mengnan Tian +4 more
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Particle algorithms for optimization on binary spaces
We discuss a unified approach to stochastic optimization of pseudo-Boolean objective functions based on particle methods, including the cross-entropy method and simulated annealing as special cases.
Schäfer, Christian
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Numerical Analysis and Optimization
This Editorial introduces this Special Issue of Axioms, which collates 10 articles showcasing the latest research related to problems in the two major scientific fields named in its title: “Numerical Analysis and Optimization” [...]
Milena J. Petrovic +2 more
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Towards a Lagrange-Newton approach for PDE constrained shape optimization
The novel Riemannian view on shape optimization developed in [Schulz, FoCM, 2014] is extended to a Lagrange-Newton approach for PDE constrained shape optimization problems.
A Novruzi +13 more
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