We study a markovian evolutionary process which encompasses the classical simple genetic algorithm. This process is obtained by randomly perturbing a very simple selection scheme. Using the ...

We introduce a simple algorithmic sampling method for choosing crossing-sets; we name the algorithm SPREAD (Selection of Pairings Reaching Evenly Across the Data).

This study proposes a relatively simple computational model of organizational evolution based on the genetic algorithm. The model includes three organizational processes: variation, adaptation, and ...