Generation of bioinspired search procedures for optimization problems
Vladimir V. Kureichik, Dmitry Zaporozhets, Daria Zaruba · 2016
The paper deals with generation of new hybrid algorithms based on the bioinspired search methods. Subsystem architecture involves a data management module and a module of automation of new search procedures generation. This module is found on genetic search and genetic programming mechanisms. The authors suggest a new approach for description of the data structure based on the XML. As a result it was developed an executable algorithm for optimization problems solving.