Bolloni, H. W . Thorsten Boseniuk, Werner Ebeling, and A. Engel. Boltzmann and Darwin strategies in complex optimization . Several authors have conjectured on the issue of asymptotic generation of Boltzmann distribution. The proposition of controlling the mutation probability for reducing the noise and keeping the crossover completely out of the arena, does not really exploit the complete power of evolutionary computation.
Genetic algorithms belong to the category of evolutionary computation.
The concept of the density of states originates from statistical physics. Boseniuk, T., W. Ebeling, and A. Engel, Boltzmann and Darwin Strategies in Complex Optimization , Phys. His method does not incorporate crossover. Boseniuk and Ebeling introduce a variety of Boltzmann Darwin strategies for solving the travelling salesman problem. Periodically, selection compares the current solutions of two processors, and probabilistically overwrites the worse with the better.