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Course Outline
Introduction to Planner
- Understanding OptaPlanner
- Defining a planning problem
- Use Cases and illustrative examples
Example: Bin Packaging Problem
- Problem definition
- Problem scale
- Domain model diagram
- Core method
- Solver configuration
- Domain model implementation
- Score configuration
Travelling Salesman Problem (TSP)
- Problem definition
- Problem scale
- Domain model
- Core method
- Chaining
- Solver configuration
- Domain model implementation
- Score configuration
Planner configuration
- Overview
- Solver configuration
- Modelling your planning problem
- Utilizing the Solver
Score calculation
- Score terminology
- Selecting a Score definition
- Computing the Score
- Performance optimizations for score calculation
- Reusing score calculation outside the Solver
Optimization algorithms
- Real-world search space size
- Does Planner guarantee an optimal solution?
- Architecture overview
- Overview of optimization algorithms
- Choosing the appropriate optimization algorithm
- SolverPhase
- Scope overview
- Termination strategies
- SolverEventListener
- Custom SolverPhase
Move and neighborhood selection
- Introduction to Moves and neighborhoods
- 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)
- Implementing custom Termination, MoveSelector, EntitySelector, ValueSelector, or Acceptor
Evolutionary algorithms
- Evolutionary Strategies
- Genetic Algorithms
Hyperheuristics
Exact methods
- Brute Force
- Depth-first Search
Benchmarking and tuning
- Identifying the best Solver configuration
- Conducting 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 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.
