Evolutinary strategies

Evolution strategies (ES) were

developed as a method to solve parameter optimization problems. The structure of

chromosome representing an individual is a pair of float vectors v = (x,σ). The first

vector, x ∈ Rn, represents here a point in the n-dimensional search space and the second

vector is the vector of standard deviations. The main idea behind ES was to

introduce a mechanism for a self-adaptation of the control parameters. This is achieved

by applying the genetic operators to the object variable x, and to the strategy parameter


Skills: Algorithm, C Programming, Data Science, Java, Python

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