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Course Outline
Planner Introduction
- What is OptaPlanner?
- Understanding planning problems
- 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
- Modeling your planning problem
- Utilizing the Solver
Score Calculation
- Score terminology
- Selecting a Score definition
- Calculating the Score
- Performance optimization techniques for Score calculation
- Reusing Score calculation outside the Solver
Optimization Algorithms
- Real-world search space size
- Does Planner find the optimal solution?
- Architecture overview
- Optimization algorithms overview
- Selecting the right optimization algorithms
- SolverPhase
- Scope overview
- Termination
- 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)
- Using 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
- 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.
