wiki:Features

Version 11 (modified by abeham, 5 years ago) (diff)

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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

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