Search results for "optimointi"

LOCAL CONTROL OF SOUND IN STOCHASTIC DOMAINS BASED ON FINITE ELEMENT MODELS

2011

A numerical method for optimizing the local control of sound in a stochastic domain is developed. A three-dimensional enclosed acoustic space, for example, a cabin with acoustic actuators in given locations is modeled using the finite element method in the frequency domain. The optimal local noise control signals minimizing the least square of the pressure field in the silent region are given by the solution of a quadratic optimization problem. The developed method computes a robust local noise control in the presence of randomly varying parameters such as variations in the acoustic space. Numerical examples consider the noise experienced by a vehicle driver with a varying posture. In a mod…

Interpreting wind damage risk-how multifunctional forest management impacts standing timber at risk of wind felling

2022

AbstractLandscape multifunctionality, a widely accepted challenge for boreal forests, aims to simultaneously provide timber, non-timber ecosystem services, and shelter for biodiversity. However, multifunctionality requires the use of novel forest management regimes optimally combined over the landscape, and an increased share of sets asides. It remains unclear how this combination will shape stand vulnerability to wind disturbances and exposed timber volume. We combined forest growth simulations and multi-objective optimization to create alternative landscape level forest management scenarios. Management choices were restricted to 1) rotation forestry, 2) continuous cover forestry, and 3) a…

Integration platform for simulation-driven design optimization

2011

Simulaatiopohjainen muodonoptimointi on iteratiivinen, monivaiheinen pro- sessi, joka usein vaatii useamman tietokoneavusteisen suunnittelun (CAD) ja -tekniikan (CAE) ohjelmiston saumatonta yhteistyötä. Tarvittavan työkaluketjun muodostaminen ja hallinta vaatii tietämystä kaikista prosessissa mukana olevista työkaluista. Mikäli prosessin suorittaminen nojaa tapauskohtaisesti luotuihin tilapäisratkaisuihin, tehty integraatiotyö menee hukkaan siirryttäessä käsillä olevasta optimointiongelmasta seuraavaan. Tämä tutkielma sisältää johdannon simulaatiopohjaiseen muodonoptimointiin ja esittelee järjestelmän, jonka pyrkimyksenä on tehostaa optimointiprosessissa käytettävien ohjelmistojen välistä i…

Multidisciplinary Design Optimization in an integrated CAD/FEM environment

2008

Type-2 intuitionistic fuzzy TODIM for intelligent decision-making under uncertainty and hesitancy

2022

AbstractThe classical TODIM considers the crisp numbers to handle the information. However, in a real-world applicative context, this information is bounded by noise and vagueness and hence uncertain. There are wide range of works in the literature which utilizes fuzzy sets to handle the uncertainty in the various dimensions. However, there is a constraint of hesitancy in such decision-making problems due to the involvement of various decision-makers. Also, in the TODIM method, decision-maker’s bounded rationality and psychological behavior are also taken into consideration which adds up the hesitation and considers the problem with higher dimension of uncertainty. There are various applica…

SOC-menetelmän luotettavuus : valikoinnin, optimoinnin ja kompensoinnin yhteys psyykkiseen toimintakykyyn

2007

On optimization in reserve selection

2006

Use cases for operational decision support system

2008

Game-Theoretic Approach to Hölder Regularity for PDEs Involving Eigenvalues of the Hessian

2021

AbstractWe prove a local Hölder estimate for any exponent $0<\delta <\frac {1}{2}$ 0 < δ < 1 2 for solutions of the dynamic programming principle $$ \begin{array}{@{}rcl@{}} u^{\varepsilon} (x) = \sum\limits_{j=1}^{n} \alpha_{j} \underset{\dim(S)=j}{\inf} \underset{|v|=1}{\underset{v\in S}{\sup}} \frac{u^{\varepsilon} (x + \varepsilon v) + u^{\varepsilon} (x - \varepsilon v)}{2} \end{array} $$ u ε ( x ) = ∑ j = 1 n α j inf dim ( S ) = j sup v ∈ S | v | = 1 u ε ( x + ε v ) + u ε ( x − ε v ) 2 with α1,αn > 0 and α2,⋯ ,αn− 1 ≥ 0. The proof is based on a new coupling idea from game theory. As an application, we get the same regularity estimate for viscosity solutions of the PDE $…

Energy Efficient Optimization for Wireless Virtualized Small Cell Networks With Large-Scale Multiple Antenna

2017

Wireless network virtualization is envisioned as a promising framework to provide efficient and customized services for next-generation wireless networks. In wireless virtualized networks (WVNs), limited radio resources are shared among different services providers for providing services to different users with heterogeneous demands. In this paper, we propose a resource allocation scheme for an orthogonal frequency division multiplexing-based WVN, where one small cell base station equipped with a large number of antennas serves the users with different service requirements. In particular, with the objective to obtain the energy efficiency in the uplink, a joint power, subcarrier, and antenn…