Stochastic optimization of three‐dimensional non‐Cartesian sampling trajectory
Sign Up to like & getrecommendations! Published in 2023 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.29645
Abstract: Optimizing three‐dimensional (3D) k‐space sampling trajectories is important for efficient MRI yet presents a challenging computational problem. This work proposes a generalized framework for optimizing 3D non‐Cartesian sampling patterns via data‐driven optimization. read more here.
Keywords: optimization three; cartesian sampling; three dimensional; stochastic optimization ... See more keywords
Stochastic optimization of nonlinear energy sinks
Sign Up to like & getrecommendations! Published in 2017 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-016-1526-y
Abstract: Nonlinear energy sinks (NES) are a promising technique to achieve vibration mitigation. Through nonlinear stiffness properties, NES are able to passively and irreversibly absorb energy. Unlike the traditional Tuned Mass Damper (TMD), NES absorb energy… read more here.
Keywords: design; energy; stochastic optimization; nonlinear energy ... See more keywords
Algorithms and analyses for stochastic optimization for turbofan noise reduction using parallel reduced-order modeling
Sign Up to like & getrecommendations! Published in 2017 at "Computer Methods in Applied Mechanics and Engineering"
DOI: 10.1016/j.cma.2017.02.030
Abstract: Abstract Simulation-based optimization of acoustic liner design in a turbofan engine nacelle for noise reduction purposes can dramatically reduce the cost and time needed for experimental designs. Because uncertainties are inevitable in the design process,… read more here.
Keywords: reduced order; stochastic optimization; noise reduction; parallel reduced ... See more keywords
A multicriteria stochastic optimization framework for sustainable forest decision making under uncertainty
Sign Up to like & getrecommendations! Published in 2019 at "Forest Policy and Economics"
DOI: 10.1016/j.forpol.2018.03.006
Abstract: Abstract A core process in forestry planning corresponds to the design of optimal harvesting policies along with road network layouts. In the most common setting, decision makers seek for solutions that maximize the profit of… read more here.
Keywords: uncertainty; forestry; stochastic optimization; sustainable forest ... See more keywords
Two-Stage Stochastic Optimization of a hydrogen network
Sign Up to like & getrecommendations! Published in 2018 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2018.09.310
Abstract: Abstract This paper discusses how to deal explicitly with uncertainty in the optimal management of the hydrogen network of a petroleum refinery. The current system is based on a RTO/MPC system for supervision and on-line… read more here.
Keywords: stage stochastic; network; two stage; stochastic optimization ... See more keywords
A stochastic optimization approach to the aggregation of electric vehicles for the provision of ancillary services
Sign Up to like & getrecommendations! Published in 2020 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2020.12.1289
Abstract: Abstract We address the problem of the optimal management of an aggregate of electric vehicles (EVs) for the provision of ancillary services to the grid, by means of a bidirectional vehicle-to-grid (V2G) infrastructure. We consider… read more here.
Keywords: electric vehicles; cost function; ancillary services; stochastic optimization ... See more keywords
Stochastic Optimization of a Natural Gas Liquefaction Process Considering Seawater Temperature Variation Based on Particle Swarm Optimization
Sign Up to like & getrecommendations! Published in 2018 at "Industrial & Engineering Chemistry Research"
DOI: 10.1021/acs.iecr.7b04546
Abstract: This paper presents a systematic stochastic optimization method for a dual mixed-refrigerant (DMR) process modeled with the simulator Aspen HYSYS. First, a base case design and an objective function are developed based on the simulator… read more here.
Keywords: stochastic optimization; temperature variation; process; particle swarm ... See more keywords
Stochastic optimization on complex variables and pure-state quantum tomography
Sign Up to like & getrecommendations! Published in 2019 at "Scientific Reports"
DOI: 10.1038/s41598-019-52289-0
Abstract: Real-valued functions of complex arguments violate the Cauchy-Riemann conditions and, consequently, do not have Taylor series expansion. Therefore, optimization methods based on derivatives cannot be directly applied to this class of functions. This is circumvented… read more here.
Keywords: stochastic optimization; quantum tomography; optimization; complex arguments ... See more keywords
Proactive Operations and Investment Planning via Stochastic Optimization to Enhance Power Systems’ Extreme Weather Resilience
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Infrastructure Systems"
DOI: 10.1061/(asce)is.1943-555x.0000603
Abstract: AbstractWe present scalable stochastic optimization approaches for improving power systems’ resilience to extreme weather events. We consider both proactive redispatch and transmission line hardeni... read more here.
Keywords: extreme weather; stochastic optimization; resilience; power systems ... See more keywords
Risk parity: An alternative formulation for risk-averse stochastic optimization in presence of heavy-tailed distribution of losses
Sign Up to like & getrecommendations! Published in 2022 at "Journal of the Operational Research Society"
DOI: 10.1080/01605682.2022.2096494
Abstract: Abstract The concept of Risk Parity (or Equal Risk Contribution), which has been widely used in financial portfolio management, aims at explicitly enforcing diversification in a portfolio by ensuring equal contribution from each asset to… read more here.
Keywords: risk parity; risk averse; risk; averse stochastic ... See more keywords
Data-driven discovery of the governing equations for transport in heterogeneous media by symbolic regression and stochastic optimization.
Sign Up to like & getrecommendations! Published in 2023 at "Physical review. E"
DOI: 10.1103/physreve.107.l013301
Abstract: With advances in instrumentation and the tremendous increase in computational power, vast amounts of data are becoming available for many complex phenomena in macroscopically heterogeneous media, particularly those that involve flow and transport processes, which… read more here.
Keywords: governing equations; data driven; stochastic optimization; heterogeneous media ... See more keywords