Video tutorials show how to use the HeuristicLab environment to complete tasks such as experiment analysis, algorithm prototyping or solving regression problems.
Basic Tutorials
Usability and Views
Execute Algorithms
Experiment Design and Analysis
Advanced Tutorials
Custom Algorithms
User-Defined Problems
Experiment Execution in Hive
Scripting
Application-specific Tutorials
Symbolic Regression
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.
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
Simulated Annealing
Particle Swarm Optimization
Tabu Search
Robust Taboo Search
Problems
Artificial Ant Problem
External Evaluation Problem
Test Functions
Traveling Salesman Problem
Vehicle Routing Problem
Operators
GP Crossovers
Probabilistic Tree Creator
Special Topics
Genetic Programming Definition Language (GPDL)
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.