Results 51 to 60 of about 8,736 (211)
Science and Technology of Nuclear Installations, 2019 A modified multiobjective self-adaptive differential evolution algorithm (MMOSADE) is presented in this paper to improve the accuracy of multiobjective optimization design in the nuclear power system.
Yunjia Yang +6 more
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source
Numerical results for the multiobjective trust region algorithm MHT
Data in Brief, 2019 In this data article, we report data and numerical results related to the research article entitled ”A trust region algorithm for heterogeneous multiobjective optimization” by Thomann and Eichfelder in SIAM Journal on Optimization.
Jana Thomann, Gabriele Eichfelder
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A Self‐Driving Lab for Solution‐Processed Electrochromic Thin Films
Advanced Intelligent Systems, EarlyView.A self‐driving laboratory accelerates the development of solution‐processed electrochromic thin films. By coupling machine learning with robotic fabrication and characterization, this closed‐loop platform systematically navigates complex processing parameters.
Selma Dahms +7 more
wiley +1 more source
Parameter influence law analysis and optimal design of a dual mass flywheel
International Journal of Mechanical System Dynamics, 2022 The influence of the dynamic parameters of a dual mass flywheel (DMF) on its vibration reduction performance is analyzed, and several optimization algorithms are used to carry out multiobjective DMF optimization design.
Guangqiang Wu, Guoqiang Zhao
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Dynamic Obstacle Avoidance of Metamorphic Microrobots Using Concentric Sector Navigator
Advanced Intelligent Systems, EarlyView.Metamorphic magnetic microrobots are navigated using a concentric sector navigator for dynamic obstacle avoidance in both microroller and swarm states. After microroller transport, citrate‐triggered dissolution releases nanoparticles that reassemble into a controllable swarm.
Zhaowen Su +4 more
wiley +1 more source
Multivariate Stochastic Optimization Approach Applied in a Flux-Cored Arc Welding Process
IEEE Access, 2020 One of the main goals in flux-cored arc welding processes is the optimization of bead geometry, in which multiple geometric characteristics of the welding bead are important; therefore, multiobjective optimization programming is often applied.
Alexandre F. Torres +5 more
doaj +1 more source
Advanced Intelligent Systems, EarlyView.Neuro‐evolution can boost machine‐learning optimization of chiral metasurfaces. By integrating the NEAT algorithm into a deep‐learning framework, we enable the efficient design of visible‐spectrum chiroptical responses. NEAT autonomously evolves neural‐network architectures and weights, reducing manual tuning.
Davide Filippozzi, Arash Rahimi‐Iman
wiley +1 more source
Reliability-based multiobjective optimization using the satisficing trade-off method
Mechanical Engineering Journal, 2014 This study proposes a reliability-based multiobjective optimization (RBMO) approach using the satisficing trade-off method (STOM). STOM is a multiobjective optimization method that obtains a highly accurate single Pareto solution, regardless of the shape
Nozomu KOGISO +2 more
doaj +1 more source
MULTIOBJECTIVE OPTIMIZATION (MOO) IN PRIVATIZATION
Journal of Business Economics and Management, 2004 Deregulation of public enterprises and services by privatization is very fashionable nowadays. The aim of privatization is mainly to increase effectiveness, while the government itself likes to maximize its revenue at the occasion of the takeover.
openaire +5 more sources