OptaPlanner in Practice Training Course

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Course Language

This course is delivered in Polish or English.

Course Code

optaprac

Duration Duration

21 hours (usually 3 days including breaks)

Course Outline Course Outline

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
  • 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

Guaranteed to run even with a single delegate!
Public Classroom Public Classroom
Participants from multiple organisations. Topics usually cannot be customised
From 7376PLN
(86)
Private Classroom Private Classroom
Participants are from one organisation only. No external participants are allowed. Usually customised to a specific group, course topics are agreed between the client and the trainer.
From 7376PLN
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Private Remote Private Remote
The instructor and the participants are in two different physical locations and communicate via the Internet
From 22360PLN
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SelfStudy SelfStudy
Self-study courses allow you to learn at your own pace on your own time. There is no live instructor involved. The participants use recorded video, quizzes and reading at their own convenience.
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The more delegates, the greater the savings per delegate. Table reflects price per delegate and is used for illustration purposes only, actual prices may differ.

Number of Delegates Public Classroom Private Classroom Private Remote
1 7376PLN 7376PLN 22360PLN
2 5163PLN 5063PLN 12555PLN
3 4425PLN 4292PLN 9287PLN
4 4057PLN 3907PLN 7653PLN
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Upcoming Courses

VenueCourse DateCourse Price [Remote/Classroom]
SzczecinWed, 2016-06-15 09:007653PLN / 3998PLN
GdańskTue, 2016-06-21 09:007653PLN / 4054PLN
GdyniaTue, 2016-06-21 09:007653PLN / 4056PLN
Zielona Góra, ul. Reja 6Tue, 2016-06-21 09:007653PLN / 3980PLN
Wrocław, ul.Ludwika Rydygiera 2a/22Wed, 2016-06-22 09:007653PLN / 3939PLN

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