Results 71 to 80 of about 83,757 (226)
A Shared Control Method of Multiobjective Motion Fusion for Surgical Robot
Advanced Intelligent SystemsShared control combines human intelligence with autonomous algorithms, demonstrating potential for enhancing the intricate and dynamic operational capabilities of robots.
Xilin Xiao +7 more
doaj +1 more source
The Scientific World Journal, 2014 This paper analyses how different coordination modes and different multiobjective decision making approaches interfere with each other in hierarchical organizations. The investigation is based on an agent-based simulation. We apply a modified NK-model in
Stephan Leitner, Friederike Wall
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Advanced Intelligent Discovery, EarlyView.A machine learning‐guided self‐driving laboratory screened over 500 nickel‐based layered double‐hydroxide catalysts for alkaline oxygen evolution. Out of the eight metals, the robot uncovered a quaternary Ni–Fe–Cr–Co catalysts requiring only 231 mV overpotential to reach 20 mA cm−2.
Nis Fisker‐Bødker +3 more
wiley +1 more source
Abstract and Applied Analysis, 2014 A calmness condition for a general multiobjective optimization problem with equilibrium constraints is proposed. Some exact penalization properties for two classes of multiobjective penalty problems are established and shown to be equivalent to the ...
Shengkun Zhu, Shengjie Li
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A modified migration model biogeography evolutionary approach for electromagnetic device multiobjective optimization [PDF]
, 2014 Inthispaper, we present anefficient androbust algorithm for multiobjective optimization of electromagnetic devices.Therecentlydeveloped biogeography-based optimization (BBO) is modified byadapting its migration model function so as to improve its ...
Dupré, Luc +2 more
core
Advanced Intelligent Discovery, EarlyView.This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu +5 more
wiley +1 more source
A Fusion Multiobjective Empire Split Algorithm
Journal of Control Science and Engineering, 2020 In the last two decades, swarm intelligence optimization algorithms have been widely studied and applied to multiobjective optimization problems. In multiobjective optimization, reproduction operations and the balance of convergence and diversity are two
Liang Liang
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Advanced Intelligent Discovery, EarlyView.A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
wiley +1 more source
Ingeniare: Revista Chilena de Ingeniería, 2009 Este trabajo presenta un modelo que permite resolver el problema de la restauración del servicio en las redes eléctricas de distribución de media tensión.
Jorge Mendoza Baeza, Fabian Rojas Lago
doaj
International Journal of Distributed Sensor Networks, 2015 Based on multiobjective particle swarm optimization, a localization algorithm named multiobjective particle swarm optimization localization algorithm (MOPSOLA) is proposed to solve the multiobjective optimization localization issues in wireless sensor ...
Ziwen Sun +3 more
doaj +1 more source