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Changes between Initial Version and Version 1 of Features


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Timestamp:
06/24/14 19:34:35 (8 years ago)
Author:
abeham
Comment:

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  • Features

    v1 v1  
     1{{{
     2#!html
     3<div style="clear: both;">
     4<p>HeuristicLab includes a large number of algorithms and problems.</p>
     5
     6<span style="width: 48%; float: left;">
     7  <h2>Problems</h2>
     8  <h3>Genetic Programming</h3>
     9  <ul>
     10    <li>Artificial Ant</li>
     11    <li>Lawn Mower</li>
     12    <li>Trading</li>
     13    <li>Symbolic Classification</li>
     14    <li>Symbolic Regression</li>
     15    <li>Symbolic Time-Series Prognosis</li>
     16  </ul>
     17  <h3>Data Analysis</h3>
     18  <ul>
     19    <li>Classificiation</li>
     20    <li>Clustering</li>
     21    <li>Regression</li>
     22  </ul>
     23  <h3>Combinatorial Problems</h3>
     24  <ul>
     25    <li>Job Shop Scheduling</li>
     26    <li>Knapsack</li>
     27    <li>Linear Assignment</li>
     28    <li>OneMax</li>
     29    <li>Quadratic Assignment</li>
     30    <li>Real-valued Test Functions</li>
     31    <li>Traveling Salesman</li>
     32    <li>Vehicle Routing Problem</li>
     33  </ul>
     34  <h3>Simulation-based Optimization</h3>
     35  <ul>
     36    <li>External Evaluation Problem</li>
     37  </ul>
     38  <h3>Extensible Problems</h3>
     39  <ul>
     40    <li>Programmable Problem</li>
     41    <li>User-defined Problem</li>
     42  </ul>
     43</span>
     44
     45<span style="width: 48%; float: right">
     46  <h2>Algorithms</h2>
     47  <h3>Machine Learning</h3>
     48  <ul>
     49    <li>Cross Validation</li>
     50    <li>Genetic Programming</li>
     51    <li>Offspring Selection Genetic Programming</li>
     52    <li>k-Means</li>
     53    <li>Linear Discriminant Analysis</li>
     54    <li>Linear Regression</li>
     55    <li>Multinomial Logit Classification</li>
     56    <li>Nearest Neighbor Regression and Classification</li>
     57    <li>Neural Network Regression and Classification</li>
     58    <li>Random Forest Regression and Classification</li>
     59    <li>Support Vector Regression and Classification</li>
     60    <li>Gaussian Process Regression and Least-Squares Classification</li>
     61    <li>Neighborhood Components Analysis</li>
     62  </ul>
     63  <h3>Population-based Algorithms</h3>
     64  <ul>
     65    <li>CMA-ES</li>
     66    <li>Evolution Strategy</li>
     67    <li>Genetic Algorithm</li>
     68    <li>Island Genetic Algorithm</li>
     69    <li>Island Offspring Selection Genetic Algorithm</li>
     70    <li>Offspring Selection Genetic Algorithm</li>
     71    <li>Particle Swarm Optimization</li>
     72    <li>Relevant Alleles Preserving GA (RAPGA)</li>
     73    <li>SASEGASA</li>
     74    <li>Scatter Search</li>
     75  </ul>
     76  <h3>Trajectory-based Algorithms</h3>
     77  <ul>
     78    <li>Local Search</li>
     79    <li>Robust Taboo Search</li>
     80    <li>Simulated Annealing</li>
     81    <li>Tabu Search</li>
     82    <li>Variable Neighborhood Search</li>
     83  </ul>
     84  <h3>Multi-objective Algorithms</h3>
     85  <ul>
     86    <li>NSGA-II</li>
     87  </ul>
     88  <h3>Optimal Algorithms</h3>
     89  <ul>
     90    <li>Hungarian Algorithm</li>
     91    <li>LM-BFGS</li>
     92  </ul>
     93  <h3>Extensible Algorithms</h3>
     94  <ul>
     95    <li>User-Defined Algorithm</li>
     96  </ul>
     97  <h3>Other Algorithms</h3>
     98  <ul>
     99    <li>Performance Benchmarks</li>
     100  </ul>
     101</span>
     102</div>
     103}}}