= (μ+λ)-Evolution Strategy (TSP) =
== Description ==
This workbench demonstrates how to realize a simple (μ+λ)-ES. It is not an optimized and tuned workbench, but rather shows how to build an ES and apply it on a problem.
For the TSP problem mutation strength adjustment is not used.

== Parameters ==
  * TSP
    * Instance = berlin52
    * Evaluation = Euclidean Rounded
  * Algorithm
    * Mu = 1
    * Lambda = 1
    * !MaximumGenerations = 50,000
    * Mutation = Inversion

== Implementation & Notes ==
Works with r60

== Results & Conclusions ==
Achieves a result in the 10% range to the global optimum.

----