• English
    • Ελληνικά
    • Deutsch
    • français
    • italiano
    • español
  • italiano 
    • English
    • Ελληνικά
    • Deutsch
    • français
    • italiano
    • español
  • Login
Sfoglia per Soggetto 
  •   DSpace Home
  • Sfoglia per Soggetto
  •   DSpace Home
  • Sfoglia per Soggetto
JavaScript is disabled for your browser. Some features of this site may not work without it.
Tutto DSpace
  • Archivi & Collezioni
  • Data di pubblicazione
  • Autori
  • Titoli
  • Soggetti

Sfoglia per Soggetto "Optimization"

  • 0-9
  • A
  • B
  • C
  • D
  • E
  • F
  • G
  • H
  • I
  • J
  • K
  • L
  • M
  • N
  • O
  • P
  • Q
  • R
  • S
  • T
  • U
  • V
  • W
  • X
  • Y
  • Z
  • Α
  • Β
  • Γ
  • Δ
  • Ε
  • Ζ
  • Η
  • Θ
  • Ι
  • Κ
  • Λ
  • Μ
  • Ν
  • Ξ
  • Ο
  • Π
  • Ρ
  • Σ
  • Τ
  • Υ
  • Φ
  • Χ
  • Ψ
  • Ω

Ordina per:

Ordine:

Risultati:

Items 1-20 di 173

  • Titolo
  • Data di pubblicazione
  • Data di immissione
  • crescente
  • decrescente
  • 5
  • 10
  • 20
  • 40
  • 60
  • 80
  • 100
    • Thumbnail

      3-D catalytic regeneration and stress modeling of diesel particulate filters by ABAQUS FEM software 

      Pontikakis, G.; Stamatelos, A.; Bakasis, K.; Aravas, N. (2002)
      The design of reliable DPF systems has proved a complex and demanding task that is increasingly being assisted by modeling. 1-D but also 2-D (axisymmetric) modeling has already been applied in design optimization case ...
    • Thumbnail

      Adjusting the parameters of metal oxide gapless surge arresters' equivalent circuits using the harmony search method 

      Christodoulou C.A., Vita V., Perantzakis G., Ekonomou L., Milushev G. (2017)
      The appropriate circuit modeling of metal oxide gapless surge arresters is critical for insulation coordination studies. Metal oxide arresters present a dynamic behavior for fast front surges; namely, their residual voltage ...
    • Thumbnail

      Algorithms for optimization of building design: A review 

      Machairas, V.; Tsangrassoulis, A.; Axarli, K. (2014)
      Building design is quite a complicated task with the design team trying to counterbalance various antagonistic parameters, which in turn are subject to various constraints. Due to this complexity, performance simulation ...
    • Thumbnail

      Alloy Design Based on Computational Thermodynamics and Multi-objective Optimization: The Case of Medium-Mn Steels 

      Aristeidakis J.S., Haidemenopoulos G.N. (2017)
      A new alloy design methodology is presented for the identification of alloy compositions, which exhibit process windows (PWs) satisfying specific design objectives and optimized for overall performance. The methodology is ...
    • Thumbnail

      Analytics and Blockchain for Data Integrity in the Pharmaceuticals Industry 

      Kavasidis I., Lallas E., Gerogiannis V.C., Karageorgos A. (2022)
      The data quantity explosion that we witnessed during the last two decades has lead industrial organizations to exploit this sheer amount of data for tasks that previously would seem impossible. However, larger data volumes, ...
    • Thumbnail

      An ANN approach on the optimization of the cutting parameters during CNC plasma-arc cutting 

      Kechagias, J.; Pappas, M.; Karagiannis, S.; Petropoulos, G.; Iakovakis, V.; Maropoulos, S. (2010)
      The objective of the present study is to develop an Artificial Neural Network (ANN) in order to predict the bevel angle (response variable) during CNC plasma-arc cutting of St37 mild steel plates. The four (4) input ...
    • Thumbnail

      Application of building energy simulation in the sizing and design optimization of an office building and its HVAC equipment 

      Zogou, O.; Stamatelos, A. (2011)
      The reduction of energy consumption in buildings is of central importance in the North America's and European Union's energy policy. Following the adoption of legislative measures, methodologies are developed and employed ...
    • Thumbnail

      Application of Fuzzy Cognitive Maps to water demand prediction 

      Papageorgiou E.I., Poczeta K., Laspidou C. (2015)
      This article is focused on the issue of learning of Fuzzy Cognitive Maps designed to model and predict time series. The multi-step supervised-learning based-on-gradient methods as well as population-based learning, with ...
    • Thumbnail

      Application of zonal pricing in Greece's electricity market 

      Andrianesis, P.; Liberopoulos, G.; Papalexopoulos, A. (2009)
      Greece's electricity market is divided in two zones, North and South, due to a generation-consumption system configuration that creates a significant transmission bottleneck from North to South. Clearly, a zonal pricing ...
    • Thumbnail

      Auction mechanisms for network resource allocation 

      Koutsopoulos, I.; Iosifidis, G. (2010)
      In the autonomic Internet of the future, auction mechanisms arise as key methods for realizing efficient resource allocation. The major asset of auctions is their obliviousness to node utilities, which renders them capable ...
    • Thumbnail

      AVS video decoder on multicore systems: Optimizations and tradeoffs 

      Krommydas, K.; Antonopoulos, C. D.; Bellas, N.; Feng, W. C. (2011)
      Newer video compression standards provide high video quality and greater compression efficiency, compared to their predecessors. Their increased complexity can be outbalanced by leveraging all the levels of available ...
    • Thumbnail

      A Bayesian methodology for crack identification in structures using strain measurements 

      Gaitanaros, S.; Karaiskos, G.; Papadimitriou, C.; Aravas, N. (2010)
      A Bayesian system identification methodology is presented for estimating the crack location, size and orientation in a structure using strain measurements. The Bayesian statistical approach combines information from measured ...
    • Thumbnail

      Bayesian optimal experimental design for parameter estimation and response predictions in complex dynamical systems 

      Papadimitriou C., Argyris C. (2017)
      A Bayesian optimal experimental design (OED) framework is revisited and applied to a number of structural dynamics problems. The objective is to optimize the design of the experiment such that the most informative data are ...
    • Thumbnail

      Bayesian optimal experimental design using asymptotic approximations 

      Argyris C., Papadimitriou C. (2017)
      Bayesian optimal experimental design (OED) tools for model parameter estimation and response predictions in structural dynamics include sampling (Huan and Marzouk, J. Comput. Phys., 232:288–317, 2013) and asymptotic ...
    • Thumbnail

      Bayesian uncertainty quantification of turbulence models based on high-order adjoint 

      Papadimitriou, D. I.; Papadimitriou, C. (2015)
      The uncertainties in the parameters of turbulence models employed in computational fluid dynamics simulations are quantified using the Bayesian inference framework and analytical approximations. The posterior distribution ...
    • Thumbnail

      The berth allocation problem with stochastic vessel handling times 

      Karafa, J.; Golias, M. M.; Ivey, S.; Saharidis, G. K. D.; Leonardos, N. (2013)
      In this paper, the berth allocation problem with stochastic vessel handling times is formulated as a bi-objective problem. To solve the resulting problem, an evolutionary algorithm-based heuristic and a simulation-based ...
    • Thumbnail

      Bin Packing Heuristics for the Multiple Workflow Scheduling Problem 

      Pappas N., Oikonomou P., Tziritas N., Kolomvatsos K., Loukopoulos T. (2021)
      In the multiple workflow scheduling problem a set of workflows has to be scheduled concurrently onto system's available resources. Workflows exhibit different characteristics e.g., topological structure, size and ...
    • Thumbnail

      Black hole search and exploration in unoriented tori with synchronous scattered finite automata 

      Markou, E.; Paquette, M. (2012)
      We consider the problem of locating a black hole in a synchronous, anonymous, and unoriented torus network using mobile agents. A black hole is a harmful network node that destroys any agent visiting it without leaving any ...
    • Thumbnail

      Blood flow and diameter effect in the navigation process of magnetic nanocarriers inside the carotid artery 

      Karvelas E.G., Lampropoulos N.K., Karakasidis T.E., Sarris I.E. (2022)
      Background and objective: Serious side effects are occurred during the cancer therapy. Magnetic driving of nanoparticles is a novel method for the elimination of these effects by supplying with anticancer drug or increase ...
    • Thumbnail

      Bridge health monitoring for egnatia Odos Bridge Management System 

      Panetsos, P.; Lambropoulos, S.; Papadimitriou, C.; Karamanos, S.; Lekidis, V.; Karakostas, C. (2006)
      In Northern Greece the largest and most challenging Greek project of design, supervision, construction, operation, maintenance and exploitation is currently taking place. This is the Egnatia Motorway project. With the major ...
      htmlmap 

       

      Ricerca

      Tutto DSpaceArchivi & CollezioniData di pubblicazioneAutoriTitoliSoggetti

      My Account

      LoginRegistrazione
      Help Contact
      DepositionAboutHelpContattaci
      Choose LanguageTutto DSpace
      EnglishΕλληνικά
      htmlmap