= SGA TSP =
== Description ==
An SGA with 1-elitism applied on the ch130 TSP problem.

== Parameters ==
  * Population Size = 100
  * Mutation Rate = 5%
  * Maximum Generations = 1000
  * Elites = 1
  * Parents = 200

== Implementation & Notes ==
Works with revision r48.

== Results & Conclusions ==
After 1000 generations on average a best solution quality of about 60% away from the global optimum is reached.

This example is very classical. It should demonstrate how a simple SGA can be realized in HeuristicLab 3.0. It is for sure not a good example of a very performant GA.

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