Search results for: PARTICLE SWARM OPTIMIZATION

• 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

• Materials Science -- Classical Particle Approach (2022)

  e-Learning Courses

  • J. Dziedzic

  This is the course webpage for Materials Science -- Classical Particle Approach.

• Materials science. Quantum particle approach. 2023.

  e-Learning Courses

  • M. Bobrowski

  Quantum ideas applied for particle systems and for chemical reactions.

• Business Process Analysis and Optimization 2022

  e-Learning Courses

  • M. Grzesiak

• Business Process Analysis and Optimization 2023

  e-Learning Courses

  • M. Grzesiak

• Materials science. Quantum particle approach. 2022.

  e-Learning Courses

  • M. Bobrowski

  quantum methods for materials and molecular modeling.

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

  e-Learning Courses

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

• Material Science Quantum Particle Approach 2021

  e-Learning Courses

  • M. Bobrowski

  quantum methods for materials and molecular modeling.

• Materials Science - classical particle approach 2023/2024

  e-Learning Courses

  • S. Winczewski
  • F. Oseko

  Computer modeling and design of materials, kierunek: Nanotechnologia, specjalność: Mathematics for new materials design, II stopień, semestr 3

• [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

• 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.

• Mechanics I, W/C, MiBM, sem. 02, lato 22/23 (PG_00050273)

  e-Learning Courses

  • O. Nosko

  The course provides students with basic knowledge of Classical Mechanics. Terms, assumptions, principles and methods of Statics, Kinematics and Kinetics are treated. General methods based on the principles of conservation of momentum and energy are considered for a particle, a body and a system of bodies. The main emphasis is on the development of skills to efficiently schematise, solve and analyse typical problems.

• Mechanics II, W/C, MiBM, sem. 03, zima 22/23 (PG_00055119)

  e-Learning Courses

  • O. Nosko

  The course provides students with basic knowledge of Classical Mechanics. Terms, assumptions, principles and methods of Statics, Kinematics and Kinetics are treated. General methods based on the principles of conservation of momentum and energy are considered for a particle, a body and a system of bodies. The main emphasis is on the development of skills to efficiently schematise, solve and analyse typical problems.

• Mechanics II, W/C, ZiIP, sem. 03, zima 23/24 (PG_00055119)

  e-Learning Courses

  • O. Nosko

  The course provides students with basic knowledge of Classical Mechanics. Terms, assumptions, principles and methods of Statics, Kinematics and Kinetics are treated. General methods based on the principles of conservation of momentum and energy are considered for a particle, a body and a system of bodies. The main emphasis is on the development of skills to efficiently schematise, solve and analyse typical problems.

• Mechanics I, W/C, ZiIP, sem. 02, lato 23/24 (PG_00050273)

  e-Learning Courses

  • O. Nosko

  The course provides students with basic knowledge of Classical Mechanics. Terms, assumptions, principles and methods of Statics, Kinematics and Kinetics are treated. General methods based on the principles of conservation of momentum and energy are considered for a particle, a body and a system of bodies. The main emphasis is on the development of skills to efficiently schematise, solve and analyse typical problems.

• [IMe] Advanced numerical methods in mechanics

  e-Learning Courses

  • K. Tesch
  • R. Jankowski
  • A. Żak

  {mlang pl} Dyscyplina: inżynieria mechaniczna Zajęcia obowiązkowe dla doktorantów I i II roku Prowadzący:  dr hab. inż. Krzysztof Tesch, prof. PG, dr hab. inż. Arkadiusz Żak, prof. PG Liczba godzin: 45 Forma zajęć: wykład {mlang} {mlang en} Discipline: mechanical engineering Obligatory course for 1st and 2nd-year PhD students Academic teachers: dr hab. inż. Krzysztof Tesch, prof. PG, dr hab. inż. Arkadiusz Żak, prof....

• 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.

• 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...