OptaPlanner in Practice Schulung

Kurs Code

optaprac

Dauer

21 Stunden (üblicherweise 3 Tage inklusive Pausen)

Übersicht

Dieser Kurs verwendet einen praktischen Ansatz, um OptaPlanner zu unterrichten. Es bietet den Teilnehmern die Werkzeuge, die benötigt werden, um die Grundfunktionen dieses Werkzeugs auszuführen.

Schulungsübersicht

Planner introduction

  • What is OptaPlanner?
  • What is a planning problem?
  • Use Cases and examples

Bin Packaging Problem Example

  • Problem statement
  • Problem size
  • Domain model diagram
  • Main method
  • Solver configuration
  • Domain model implementation
  • Score configuration

Travelling Salesman Problem (TSP)

  • Problem statement
  • Problem size
  • Domain model
  • Main method
  • Chaining
  • Solver configuration
  • Domain model implementation
  • Score configuration

Planner configuration

  • Overview
  • Solver configuration
  • Model your planning problem
  • Use the Solver

Score calculation

  • Score terminology
  • Choose a Score definition
  • Calculate the Score
  • Score calculation performance tricks
  • Reusing the Score calculation outside the Solver

Optimization algorithms

  • Search space size in the real world
  • Does Planner find the optimal solution?
  • Architecture overview
  • Optimization algorithms overview
  • Which optimization algorithms should I use?
  • SolverPhase
  • Scope overview
  • Termination
  • SolverEventListener
  • Custom SolverPhase

Move and neighborhood selection

  • Move and neighborhood introduction
  • Generic Move Selectors
  • Combining multiple MoveSelectors
  • EntitySelector
  • ValueSelector
  • General Selector features
  • Custom moves

Construction heuristics

  • First Fit
  • Best Fit
  • Advanced Greedy Fit
  • the Cheapest insertion
  • Regret insertion

Local search

  • Local Search concepts
  • Hill Climbing (Simple Local Search)
  • Tabu Search
  • Simulated Annealing
  • Late Acceptance
  • Step counting hill climbing
  • Late Simulated Annealing (experimental)
  • Using a custom Termination, MoveSelector, EntitySelector, ValueSelector or Acceptor

Evolutionary algorithms

  • Evolutionary Strategies
  • Genetic Algorithms

Hyperheuristics

Exact methods

  • Brute Force
  • Depth-first Search

Benchmarking and tweaking

  • Finding the best Solver configuration
  • Doing a benchmark
  • Benchmark report
  • Summary statistics
  • Statistics per dataset (graph and CSV)
  • Advanced benchmarking

Repeated planning

  • Introduction to repeated planning
  • Backup planning
  • Continuous planning (windowed planning)
  • Real-time planning (event based planning)

Drools

  • Short introduction to Drools
  • Writing Score Function in Drools

Integration

  • Overview
  • Persistent storage
  • SOA and ESB
  • Other environment

Erfahrungsberichte

★★★★★
★★★★★

Buchungen, Preise und Anfragen

Privater Klassenraum

Ab 6050EUR

Öffentlicher Fernkurs

Ab 5250EUR (50)

Öffentlicher Klassenraum

Standort Datum Kurspreis (Fernkurs/Schulungsraum)
Hamburg2018-12-31 09:30:005250EUR / 6050EUR
Stuttgart2018-12-31 09:30:005250EUR / 6050EUR
Hannover2019-01-01 09:30:005250EUR / 6050EUR
Düsseldorf2019-01-02 09:30:005250EUR / 6050EUR
Bremen2019-01-02 09:30:005250EUR / 6050EUR
Dresden2019-01-02 09:30:005250EUR / 6050EUR
Berlin 2019-01-09 09:30:005250EUR / 6050EUR
Köln2019-01-09 09:30:005250EUR / 6050EUR
Frankfurt am Main2019-01-28 09:30:005250EUR / 6050EUR
Leipzig2019-02-04 09:30:005250EUR / 6050EUR
München2019-02-05 09:30:005250EUR / 6050EUR
Nürnberg2019-02-06 09:30:005250EUR / 6050EUR
Potsdam2019-02-06 09:30:005250EUR / 6050EUR
Erfurt2019-02-21 09:30:005250EUR / 6050EUR
Bremen2019-02-25 09:30:005250EUR / 6050EUR
Cannot find a suitable date? Choose Your Course Date >>Zu teuer? Schlagen Sie einen Preis vor >>

Sonderangebote

CourseOrtSchulungsdatumKurspreis (Fernkurs / Schulungsraum)
Comprehensive C# and .NET Application SecurityFrankfurt am MainMi, 2019-01-02 09:304725EUR / 5525EUR
Building Microservice Architectures DresdenMi, 2019-02-13 09:303150EUR / 3750EUR
Monax: Build a Smart Contract ApplicationKölnMi, 2019-03-06 09:301575EUR / 1975EUR
Introduction to the use of neural networksLeipzigDo, 2019-05-02 09:301575EUR / 1975EUR
RLeipzigMi, 2019-06-19 09:304725EUR / 5525EUR

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