Screenshots

HeuristicLab includes a large number of algorithms and problems.

Problems

Genetic Programming

• Artificial Ant
• Lawn Mower
• Trading
• Symbolic Classification
• Symbolic Regression
• Symbolic Time-Series Prognosis

Data Analysis

• Classificiation
• Clustering
• Regression

Combinatorial Problems

• Job Shop Scheduling
• Knapsack
• Linear Assignment
• OneMax
• Quadratic Assignment
• Real-valued Test Functions
• Traveling Salesman
• Vehicle Routing Problem

Simulation-based Optimization

• External Evaluation Problem

Extensible Problems

• Programmable Problem
• User-defined Problem

Algorithms

Machine Learning

• Cross Validation
• Genetic Programming
• Offspring Selection Genetic Programming
• k-Means
• Linear Discriminant Analysis
• Linear Regression
• Multinomial Logit Classification
• Nearest Neighbor Regression and Classification
• Neural Network Regression and Classification
• Random Forest Regression and Classification
• Support Vector Regression and Classification
• Gaussian Process Regression and Least-Squares Classification
• Neighborhood Components Analysis

Population-based Algorithms

• CMA-ES
• Evolution Strategy
• Genetic Algorithm
• Island Genetic Algorithm
• Island Offspring Selection Genetic Algorithm
• Offspring Selection Genetic Algorithm
• Particle Swarm Optimization
• Relevant Alleles Preserving GA (RAPGA)
• SASEGASA
• Scatter Search

Trajectory-based Algorithms

• Local Search
• Robust Taboo Search
• Simulated Annealing
• Tabu Search
• Variable Neighborhood Search

Multi-objective Algorithms

• NSGA-II

Optimal Algorithms

• Hungarian Algorithm
• LM-BFGS

Extensible Algorithms

• User-Defined Algorithm

Other Algorithms

• Performance Benchmarks