Home > Machine Learning, Projects > Differential Evolution – Example 5.

Differential Evolution – Example 5.

February 27, 2011 Leave a comment Go to comments

I quote below a personal portable implementation (in C++) of a classic Differential Evolution algorithm used to maximize the function f(x) = sin(x) in the domain 0 <= x <= 2pi. You can compile the program with the g++ compiler.

The Differential Evolution algorithm implements the following features:

  1. Monoparametric optimization problem (with continuous parameter)
  2. Natural representation of genotypes
  3. Genotypes of only one chromosome
  4. Number of iterations as the termination criterion
  5. Steady-State reproduction (replacement of parents and children)
  6. Crossover through breeding: v = x0 + a (x1 – x2)
  7. Climbing through breeding: v = x0 + a (x1 – x2)

For more information you can get the project itself:

`evolutionary-computation-paradigms

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