Results 71 to 80 of about 8,579,021 (292)
Advanced Materials Technologies, EarlyView.High‐aspect‐ratio low‐melting‐point alloy inclusions are embedded within multilayer silicone laminates to create thermally programmable stiffness. Sequential activation of alloy‐rich layers produces four distinct mechanical states and reconfigures tendon‐driven actuator trajectories under the same load.
Palpolage Don Shehan Hiroshan Gunawardane +4 more
wiley +1 more source
A Vector Grouping Learning Brain Storm Optimization Algorithm for Global Optimization Problems
IEEE Access, 2018 The original brain storm optimization (BSO) method does not rationally compromise global exploration and local exploitation capability, which results in the premature convergence when solving complicated optimization problems such as the shifted or ...
Chunquan Li +6 more
doaj +1 more source
First-Order Conditions for C0,1 Constrained vector optimization [PDF]
For a Fritz John type vector optimization problem with C0,1 data we define different type of solutions, give their scalar characterizations applying the so called oriented distance, and give necessary and sufficient first order optimality conditions in ...
Rocca Matteo +2 more
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Advanced Materials Technologies, EarlyView.Dense tactile streams from across the humanoid body converge on collide in a central wiring and data bottleneck. By relocating computation closer to and then into the skin itself, near‐ and in‐sensor architectures, together with neuromorphic computing, chart a path toward perception‐native electronic skin, in which the conversion of stimulus into ...
Mijin Kim +6 more
wiley +1 more source
On the Scalarization of Vector Optimization Problems [PDF]
, 2016 Vector Optimization Problems have been intensively investigated by carrying out the analysis in the image space (namely, the space where the objective functions run) and several interesting results have been achieved.
PELLEGRINI, Letizia
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Box-constrained vector optimization: a steepest descent method without “a priori” scalarization [PDF]
In this paper a notion of descent direction for a vector function defined on a box is introduced. This concept is based on an appropriate convex combination of the “projected” gradients of the components of the objective functions.
Miglierina Enrico +2 more
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Robust Linear and Support Vector Regression [PDF]
, 2000 The robust Huber M-estimator, a differentiable cost function that is quadratic for small errors and linear otherwise, is modeled exactly, in the original primal space of the problem, by an easily solvable simple convex quadratic program for both linear ...
Mangasarian, Olvi, Musicant, David
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Coherent Absorption Reveals Colors Hidden in a Grey Fabry–Pérot Cavity
Advanced Optical Materials, EarlyView.A dielectric thin film shows colors depending on its thickness; this effect can be used to encode information normally accessible through single‐beam spectroscopy. We developed a method to conceal this kind of information, based on coating the dielectric with a matched conductor, that suppresses the color‐bearing thin‐film resonances.
Giuseppe E. Lio +10 more
wiley +1 more source
On the balanced and nonbalanced vector optimization problems
Journal of Numerical Analysis and Approximation Theory, 1995 Not available.
Dorel I. Duca +2 more
doaj +2 more sources
Scalarization and sensitivity analysis in Vector Optimization. The linear case. [PDF]
In this paper we consider a vector optimization problem; we present some scalarization techniques for finding all the vector optimal points of this problem and we discuss the relationships between these methods. Moreover, in the linear case, the study of
Letizia Pellegrini, Elisa Pagani
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