About

Information on the team of developers, contributors, and awards that HeuristicLab has received.

• About HeuristicLab
• Quick Introduction
• Frequently asked questions
• Research activities and publications

Development Center

HeuristicLab is continously improved and extended. Here you can access the roadmap with currently active tickets, view the timeline or browse the sources.

• Roadmap
• Tickets
• Timeline
• Developer Resources

Video Tutorials

Video tutorials show how to use the HeuristicLab environment to complete tasks such as experiment analysis, algorithm prototyping or solving regression problems.

Basic Tutorials

• Introduction to the user interface
• Parameterize and execute algorithms
• Experiment design and analysis

Advanced Tutorials

• Create custom algorithms
• Create user-defined problems
• Execute and Analyze experiments using Hive
• Rapid prototyping with scripts

Application-specific Tutorials

• Introduction to symbolic regression
• Introduction to symbolic classification

Howtos

Howtos are detailed instructions that show how to work with HeuristicLab such as designing new problems in the GUI and how to extend HeuristicLab with new features that can be added in new plugins.

Working with HeuristicLab

• Tutorial slides: Algorithm and experiment design
• Define custom problems in the GUI
• Optimize AnyLogic simulation models
• Optimize external applications
• Experiment calculation with HeuristicLab Hive
• Use Hive engine for fine-grained parallel algorithms
• Run HeuristicLab on Linux

Extending HeuristicLab

• Tutorial slides: HeuristicLab programming basics
• Tutorial slides: HeuristicLab programming algorithms and problems
• Create new plugins
• Implement custom views
• Implement a basic algorithm
• Implement custom problems
• Implement GP problems
• Implement a new VRP encoding
• Implement a new VRP evaluator
• Implement a new VRP problem instance
• Integrate HeuristicLab in other applications

Additional Infrastructure

• Setup Hive server
• Setup Hive slave
• Setup OKB server
• Develop services

Reference

HeuristicLab includes many algorithms, problems, and operators. Here several of these are explained in more detail.

Algorithms

• Genetic algorithm
• Evolution strategy
• Offspring selection genetic algorithm
• Particle swarm optimization
• Robust taboo search

Problems

• Artificial ant problem
• External evaluation problem
• Real-valued test functions
• Traveling salesman problem
• Vehicle routing problem

Operators

• Crossovers for genetic programming
• Probabilistic tree creator

Special Topics

• Genetic programming definition language (GPDL)
• Symbolic music segmentation