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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
- Modelling your planning problem
- Using the Solver
Score calculation
- Score terminology
- Choosing a score definition
- Calculating the score
- Performance tricks for score calculation
- Reusing score calculation outside the Solver
Optimisation algorithms
- Search space size in the real world
- Does Planner find the optimal solution?
- Architecture overview
- Overview of optimisation algorithms
- Which optimisation algorithms should I use?
- SolverPhase
- Scope overview
- Termination
- SolverEventListener
- Custom SolverPhase
Move and neighbourhood selection
- Introduction to moves and neighbourhoods
- 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 tuning
- Finding the best Solver configuration
- Performing 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 a score function in Drools
Integration
- Overview
- Persistent storage
- SOA and ESB
- Other environments
21 Hours
Testimonials (1)
The training definitely backfilled some of the gaps in my knowledge left by reading the OptaPlanner userguide. It gave me a good broad understanding of how to approach using OptaPlanner in our projects going forward.
