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<h2>Screenshots</h2>
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<div style="float: left; width: 32%"><a href="/attachment/wiki/Features/gp_artificial_ant_best_solution.PNG"><img src="/raw-attachment/wiki/Features/gp_artificial_ant_best_solution.PNG" width="90%"/></a></div>
<div style="float: left; width: 32%"><a href="/attachment/wiki/Features/gp_classification_tree_roc.PNG"><img src="/raw-attachment/wiki/Features/gp_classification_tree_roc.PNG" width="90%" /></a></div>

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<div style="float: left; width: 32%"><a href="/attachment/wiki/Features/gp_regression_tree_optimized_simplified_scatter_plot.PNG"><img src="/raw-attachment/wiki/Features/gp_regression_tree_optimized_simplified_scatter_plot.PNG" width="90%"/></a></div>
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<div style="float: left; width: 32%"><a href="/attachment/wiki/Features/ga_tsp_qualities.PNG"><img src="/raw-attachment/wiki/Features/ga_tsp_qualities.PNG" width="90%" /></a></div>
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<p>HeuristicLab includes a large number of algorithms and problems.</p>

<span style="width: 48%; float: left;">
  <h2>Problems</h2>
  <h3><a href="/trac.fcgi/wiki/Features/Genetic Programming" style="color: #B10">Genetic Programming</a></h3>
  <ul>
    <li>Artificial Ant</li>
    <li>Lawn Mower</li>
    <li>Even Parity</li> 
    <li>Multiplexer</li>
    <li>Robocode</li>
    <li>Trading</li>
    <li>Symbolic Classification</li>
    <li>Symbolic Regression</li>
    <li>Koza-style Symbolic Regression</li>
    <li>Symbolic Time-Series Prognosis</li>
    <li>Grammatical Evolution</li>
  </ul>
  <h3>Data Analysis</h3>
  <ul>
    <li>Classificiation</li>
    <li>Clustering</li>
    <li>Regression</li>
  </ul>
  <h3>Combinatorial Problems</h3>
  <ul>
    <li>Deceptive trap (step)</li>
    <li>HIFF</li>
    <li>Job Shop Scheduling</li>
    <li>Knapsack</li>
    <li>Bin Packing</li>
    <li>Graph Coloring</li>
    <li>NK[P,Q] Landscapes</li>
    <li>Linear Assignment</li>
    <li>OneMax</li>
    <li>Orienteering</li>
    <li>Quadratic Assignment</li>
    <li>Real-valued Test Functions (single- and multi-objective)</li>
    <li>Traveling Salesman</li>
    <li>Probabilistic Traveling Salesman</li>
    <li>Vehicle Routing Problem</li>
  </ul>
  <h3>Simulation-based Optimization</h3>
  <ul>
    <li>External Evaluation Problem (single- and multi-objective)</li>
    <li>MATLAB Parameter Optimization Problem</li>
    <li>Scilab Parameter Optimization Problem</li>
  </ul>
  <h3>Extensible Problems</h3>
  <ul>
    <li>Programmable Problem</li>
    <li>User-defined Problem</li>
  </ul>
</span>

<span style="width: 48%; float: right">
  <h2>Algorithms</h2>
  <h3>Machine Learning</h3>
  <ul>
    <li>Cross Validation</li>
    <li>Genetic Programming</li>
    <li>Offspring Selection Genetic Programming</li>
    <li>k-Means</li>
    <li>Linear Discriminant Analysis</li>
    <li>Linear Regression</li>
    <li>Nonlinear Regression</li>
    <li>Multinomial Logit Classification</li>
    <li>Nearest Neighbor Regression and Classification</li>
    <li>Neural Network Regression and Classification</li>
    <li>Random Forest Regression and Classification</li>
    <li>Support Vector Regression and Classification</li>
    <li>Gaussian Process Regression and Least-Squares Classification</li>
    <li>Gradient Boosted Trees</li>
    <li>Gradient Boosted Regression</li>
    <li>Neighborhood Components Analysis</li>
    <li>Elastic-Net Regression</li>
    <li>Kernel Ridge Regression</li>
    <li>Decision Tree Regression</li>
    <li>Barnes-Hut t-SNE</li>
  </ul>
  <h3>Population-based Algorithms</h3>
  <ul>
    <li>Age-layered Population Structure (ALPS)</li>
    <li>CMA-ES</li>
    <li>Evolution Strategy</li>
    <li>Genetic Algorithm</li>
    <li>Island Genetic Algorithm</li>
    <li>Island Offspring Selection Genetic Algorithm</li>
    <li>Offspring Selection Evolution Strategy (OSES)</li>
    <li>Offspring Selection Genetic Algorithm (OSGA)</li>
    <li>Parameter-less population pyramid (P3)</li>
    <li>Particle Swarm Optimization</li>    
    <li>Relevant Alleles Preserving GA (RAPGA)</li>
    <li>SASEGASA</li>
    <li>Scatter Search</li>
  </ul>
  <h3>Trajectory-based Algorithms</h3>
  <ul>
    <li>Local Search</li>
    <li>Robust Taboo Search</li>
    <li>Simulated Annealing</li>
    <li>Tabu Search</li>
    <li>Variable Neighborhood Search</li>
  </ul>
  <h3>Multi-objective Algorithms</h3>
  <ul>
    <li>NSGA-II</li>
  </ul>
  <h3>Optimal Algorithms</h3>
  <ul>
    <li>MIP/LP Solvers of Google OR-Tools</li>
    <li>Hungarian Algorithm</li>
    <li>LM-BFGS</li>
  </ul>
  <h3>Extensible Algorithms</h3>
  <ul>
    <li>User-Defined Algorithm</li>
  </ul>
  <h3>Other Algorithms</h3>
  <ul>
    <li>Performance Benchmarks</li>
  </ul>
</span>
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