Results 31 to 40 of about 7,929,866 (305)
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
core +2 more sources
Numerical optimization and point cloud registration are critical research topics in the field of artificial intelligence. The differential evolution algorithm is an effective approach to address these problems, and LSHADE-SPACMA, the winning algorithm of
Shengwei Fu +8 more
semanticscholar +1 more source
Benchmarking the HRP-2 Humanoid Robot During Locomotion
In this paper we report results on benchmarking a HRP-2 humanoid robot. The humanoid robots of this serie are known to be very robust. They have been successfully used by several research groups for the design of new motion generation algorithms. As such
Olivier Stasse +6 more
doaj +1 more source
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 micro-texture optimization for lubricated contacts—A critical discussion
Despite numerous experimental and theoretical studies reported in the literature, surface micro-texturing to control friction and wear in lubricated tribo-contacts is still in the trial-and-error phase.
Max Marian +3 more
semanticscholar +1 more source
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
doaj +1 more source
Numerical optimization for Artificial Retina Algorithm
High-energy physics experiments rely on reconstruction of the trajectories of particles produced at the interaction point. This is a challenging task, especially in the high track multiplicity environment generated by p-p collisions at the LHC energies ...
Belous, Mikhail +3 more
core +1 more source
Global optimization for low-dimensional switching linear regression and bounded-error estimation [PDF]
The paper provides global optimization algorithms for two particularly difficult nonconvex problems raised by hybrid system identification: switching linear regression and bounded-error estimation.
Lauer, Fabien
core +4 more sources
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
doaj +1 more source
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
doaj +1 more source

