Structural shape optimization using Cartesian grids and automatic h-adaptive mesh projection
Sign Up to like & getrecommendations! Published in 2018 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-017-1875-1
Abstract: We present a novel approach to 3D structural shape optimization that leans on an Immersed Boundary Method. A boundary tracking strategy based on evaluating the intersections between a fixed Cartesian grid and the evolving geometry… read more here.
Keywords: shape optimization; shape; optimization using; using cartesian ... See more keywords
A method of routing optimization using CHNN in MANET
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-017-0614-1
Abstract: The performance of routing protocols determines the performance of MANET, and the development and improvement of routing protocols have been the hotspot of MANET research. DSR, as one of the IETF standardized routing protocol, which… read more here.
Keywords: optimization using; dsr; performance; method routing ... See more keywords
Efficient topology optimization using GPU computing with multilevel granularity
Sign Up to like & getrecommendations! Published in 2017 at "Advances in Engineering Software"
DOI: 10.1016/j.advengsoft.2017.01.009
Abstract: Efficient computation of density-based topology optimization using GPU computing is proposed.Workload of CUDA threads is properly balanced by the multi-granular GPU implementation of computationally intensive tasks.The use of on-chip memory is maximized in matrix-vector product… read more here.
Keywords: gpu computing; using gpu; optimization using; topology ... See more keywords
Optimality conditions for set optimization using a directional derivative based on generalized Steiner sets
Sign Up to like & getrecommendations! Published in 2019 at "Optimization"
DOI: 10.1080/02331934.2020.1812605
Abstract: Set-optimization has attracted increasing interest in the last years, as for instance uncertain multiobjective optimization problems lead to such problems with a set-valued objective function. Ther... read more here.
Keywords: optimality conditions; optimization using; using directional; optimization ... See more keywords
Distributed Optimization Using ALADIN for MPC in Smart Grids
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Control Systems Technology"
DOI: 10.1109/tcst.2020.3033010
Abstract: This article presents a distributed optimization algorithm tailored to solve optimization problems arising in smart grids. In detail, we propose a variant of the augmented Lagrangian-based alternating direction inexact Newton (ALADIN) method, which comes along… read more here.
Keywords: aladin mpc; optimization using; optimization; distributed optimization ... See more keywords
Aerostructural Design Optimization Using a Multifidelity Quasi-Newton Method
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Aircraft"
DOI: 10.2514/1.c035152
Abstract: The traditional aircraft design process relies upon low-fidelity models for expedience and resource savings. However, the reduced accuracy and reliability of low-fidelity tools often lead to the di... read more here.
Keywords: aerostructural design; optimization using; design; using multifidelity ... See more keywords
Vacuum Thermoforming Process: An Approach to Modeling and Optimization Using Artificial Neural Networks
Sign Up to like & getrecommendations! Published in 2018 at "Polymers"
DOI: 10.3390/polym10020143
Abstract: In the vacuum thermoforming process, the group effects of the processing parameters, when related to the minimizing of the product deviations set, have conflicting and non-linear values which make their mathematical modelling complex and multi-objective.… read more here.
Keywords: vacuum thermoforming; thermoforming process; using artificial; optimization using ... See more keywords