Search results for: mixed integer optimization

• Business Process Analysis and Optimization 2022

  e-Learning Courses

  • M. Grzesiak

• Business Process Analysis and Optimization 2023

  e-Learning Courses

  • M. Grzesiak

• Business Process Analysis and Optimization 2024

  e-Learning Courses

  • M. Grzesiak

• [ILiT, IŚGiE] Reliability-Based Optimization (RBO)

  e-Learning Courses

  • J. Górski
  • K. Winkelmann
  • M. Skowronek

• [ILiT, IŚGiE] Reliability-Based Optimization (RBO) - 2022/23

  e-Learning Courses

  • J. Górski
  • K. Winkelmann
  • M. Skowronek

• [ILiT, IŚGiE] Reliability-Based Optimization (RBO) - 2023/24

  e-Learning Courses

  • J. Górski
  • K. Winkelmann
  • M. Skowronek

• Team Strategies - sem. 2022/23

  e-Learning Courses

  • T. Białaszewski

  The main aim of the course is to familiarize students with the basic problems in team strategies, such as: the use of the particle swarm optimization algorithms, the ant colony optimization, stochastic distributed searches, algorithms for team strategy, multi-agent systems, modeling intelligent cooperation, simulations of social behavior. The form of passing the course is passing the exam and completing a project task

• Team Strategies - sem. 2023/24

  e-Learning Courses

  • T. Białaszewski

  The main aim of the course is to familiarize students with the basic problems in team strategies, such as: the use of the particle swarm optimization algorithms, the ant colony optimization, stochastic distributed searches, algorithms for team strategy, multi-agent systems, modeling intelligent cooperation, simulations of social behavior. The form of passing the course is passing the exam and completing a project task

• Team Strategies - sem. 2024/25

  e-Learning Courses

  • T. Białaszewski

  The main aim of the course is to familiarize students with the basic problems in team strategies, such as: the use of the particle swarm optimization algorithms, the ant colony optimization, stochastic distributed searches, algorithms for team strategy, multi-agent systems, modeling intelligent cooperation, simulations of social behavior. The form of passing the course is passing the exam and completing a project task

• Algorytmy Optymalizacji Dyskretnej - ed. 2021/2022

  e-Learning Courses

  • K. Pastuszak

  In real-world applications, many important practical problems are NP-hard, therefore it is expedient to consider not only the optimal solutions of NP-hard optimization problems, but also the solutions which are “close” to them (near-optimal solutions). So, we can try to design an approximation algorithm that efficiently produces a near-optimal solution for the NP-hard problem. In many cases we can even design approximation algorithms...

• Deep Learning Basics 2023/24

  e-Learning Courses

  • K. Draszawka

  A course about the basics of deep learning intended for students of Computer Science. It includes an introduction to supervised machine learning, the architecture of basic artificial neural networks and their training algorithms, as well as more advanced architectures (convolutional networks, recurrent networks, transformers) and regularization and optimization techniques.

• Topic 1: Transformations / Spatial form design, scale 1:1

  e-Learning Courses

  • E. Urwanowicz
  • K. Wróblewski
  • P. Różycki

  Brief description: The subject matter of the spatial form design classes is transformation. First, a black square becomes a flat graphic composition, which is then converted to color. The final stage of the transformation process is a spatial object, which is by assumption devoid of any utilitarian functions. Course content / classes schedule:   1. Graphic. The task is to create an achromatic flat composition in the contrast...

• TIME SERIES MODELING (PG_00063724)

  e-Learning Courses

  • P. Paradowski

  Effectively uses in-depth knowledge of economic time series analysis methods, applying the results of analyzes to formulate forecasts. Subject contents: 1. Classical time series analysis (trend, cyclical fluctuations) 2. Exponential smoothing models 3. Holt and Winters model 4. Stochastic processes and time series 5. Characteristics of stochastic processes 6. Process spectrum autocorrelation functions 7. Study of the stationarity...

• SPACIAL FORM DESIGN scale 1:1

  e-Learning Courses

  • Ł. Ławrynowicz
  • K. Wróblewski

  Brief description: The subject matter of the spatial form design classes is transformation. First, a black square becomes a flat graphic composition, which is then converted to color. The final stage of the transformation process is a spatial object, which is by assumption devoid of any utilitarian functions. Course content / classes schedule:   1. Graphic. The task is to create an achromatic flat composition in the contrast...

• Modeling the Networks - ed. 2021/2022

  e-Learning Courses

  The goal of this course is to present optimization problems for road networks, where the road network is a set of n distinct lines, or n distinct (open or closed) line segments, in the plane, such that their union is a connected region.

• Materials for energy storage and conversion devices 2022/2023

  e-Learning Courses

  Electrodes: Metals as electrodes in aqueous and non-aqueous systems, metal nanoparticles. Collectors current. 3D, 2D, 1 D carbons, carbon nanomaterials. Organic semiconductors "Synthetic metals" - p-type, n-type. Inorganic semiconductors: oxides, selenides, sulfides, others. Intercalated electrodes. Mixed conductors (MIEC). Photo-active semiconductor materials. Electrolytes. Water electrolytes in commercial products. Electroactive...

• Mathematical and numerical modelling,W,IDE-EMSS,IIst,sem.01,lato,2023/24 (PG_00057379)

  e-Learning Courses

  • K. J. Kaliński

  Modelling of controlled mechanical systems by the mixed method of rigid and flexible finite elements: The finite element volume problems. Dynamics of multibody systems. Modelling of stationary closed loop systems. Modelling of systems whose configuration changes with time. Modelling of nonlinear controlled systems. Optimal control at energy performance index: Control of continuous nonstationary systems in domain of generalised...

• Mathematical and Numerical Modelling, L, IDE IInd, sem.01, summer, 2022/23(00057379)

  e-Learning Courses

  • K. J. Kaliński

  Modelling of controlled mechanical systems by the mixed method of rigid and flexible finite elements: The finite element volume problems. Dynamics of multibody systems. Modelling of stationary closed loop systems. Modelling of systems whose configuration changes with time. Modelling of nonlinear controlled systems. Optimal control at energy performance index: Control of continuous nonstationary systems in domain of generalised...

• Computer controlled systems - 2022/2023

  e-Learning Courses

  • P. Raczyński

  materiały wspierające wykład na studiach II stopnia na kierunku ACR pod tytułem komputerowe systemy automatyki 1. Computer system – controlled plant interfacing technique; simple interfacing and with both side acknowledgement; ideas, algorithms, acknowledge passing. 2. Methods of acknowledgement passing: software checking and passing, using interrupt techniques, using readiness checking (ready – wait lines). The best solution...

• CCS-lecture-2023-2024

  e-Learning Courses

  • P. Raczyński

  materiały wspierające wykład na studiach II stopnia na kierunku ACR pod tytułem komputerowe systemy automatyki 1. Computer system – controlled plant interfacing technique; simple interfacing and with both side acknowledgement; ideas, algorithms, acknowledge passing. 2. Methods of acknowledgement passing: software checking and passing, using interrupt techniques, using readiness checking (ready – wait lines). The best solution optimization...