Results 231 to 240 of about 3,008,864 (289)
Multiple conformational states assembly of multidomain proteins using evolutionary algorithm based on structural analogues and sequential homologues. [PDF]
Peng C +5 more
europepmc +1 more source
Surface segregation in quaternary Ag‐Au‐Pd‐Pt compositionally complex solid solutions is systematically mapped across 684 compositions by combining high‐throughput EDX and XPS characterization of co‐sputtered thin‐film libraries with large‐scale MD/MC atomistic simulations.
Ridha Zerdoumi +10 more
wiley +1 more source
Structural and Dynamic Properties of Lipid‐Coated Gold Nanoparticles
Atomistic molecular dynamics simulations reveal how lipid chemistry governs the behavior of coatings on the surface of a gold nanoparticle. Variations in headgroup charge and acyl‐chain saturation produce distinct monolayer‐like lipid organization, ranging from compact, ordered coatings to extended, dynamic shells. These findings establish a foundation
Kalpani A. Mirihana +4 more
wiley +1 more source
Recent Advances of Slip Sensors for Smart Robotics
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
Hierarchical multi‐material TPMS lattices are engineered as flexible tactile sensors by combining soft and stiff elastomeric layers with a conformal conductive coating. The bilayer architecture delivers sensitivity at low pressures while maintaining a broad detectable range under large loads, enabling reliable pressure and vibration monitoring for ...
Reza Noroozi +3 more
wiley +1 more source
Aerosol Jet Printing (AJP) has emerged as a versatile additive manufacturing technique for high‐resolution, conformal, and multi‐material printing. This review highlights advances in printable materials, substrate compatibility, post‐processing, characterization, and process innovations, while critically discussing current challenges and future ...
Chandrachur Chatterjee +2 more
wiley +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Information Sciences, 2001
This article broadly introduces evolutionary algorithms and discusses the current trends, both in a historical perspective and with respect to practical outcomes. It then quickly surveys theoretical results and main domains of applications.
Michalewicz, Z., Schoenauer, M.
openaire +3 more sources
This article broadly introduces evolutionary algorithms and discusses the current trends, both in a historical perspective and with respect to practical outcomes. It then quickly surveys theoretical results and main domains of applications.
Michalewicz, Z., Schoenauer, M.
openaire +3 more sources
Journal of Computational Science, 2021
Abstract This paper proposes an evolutionary Rao algorithm (ERA) to enhance three state-of-the-art metaheuristic Rao algorithms (Rao-1, Rao-2, Rao-3) by introducing two new schemes. Firstly, the population is split into two sub-populations based on their qualities: high and low, with a particular portion. The high-quality sub-population searches for
Suyanto Suyanto +4 more
openaire +2 more sources
Abstract This paper proposes an evolutionary Rao algorithm (ERA) to enhance three state-of-the-art metaheuristic Rao algorithms (Rao-1, Rao-2, Rao-3) by introducing two new schemes. Firstly, the population is split into two sub-populations based on their qualities: high and low, with a particular portion. The high-quality sub-population searches for
Suyanto Suyanto +4 more
openaire +2 more sources
WIREs Data Mining and Knowledge Discovery, 2014
AbstractEvolutionary algorithm (EA) is an umbrella term used to describe population‐based stochastic direct search algorithms that in some sense mimic natural evolution. Prominent representatives of such algorithms are genetic algorithms, evolution strategies, evolutionary programming, and genetic programming.
Thomas Bartz-Beielstein +3 more
openaire +2 more sources
AbstractEvolutionary algorithm (EA) is an umbrella term used to describe population‐based stochastic direct search algorithms that in some sense mimic natural evolution. Prominent representatives of such algorithms are genetic algorithms, evolution strategies, evolutionary programming, and genetic programming.
Thomas Bartz-Beielstein +3 more
openaire +2 more sources

