Application of adaptive Genetic Algorithm in mining industry

Besiashvili G., Khachidze M., Chokhonelidze D.

9th WSEAS International Conference on Applied Informatics and Communications, Moscow, Russia, 20 - 22 August 2009, pp.341-342 identifier

  • Publication Type: Conference Paper / Full Text
  • City: Moscow
  • Country: Russia
  • Page Numbers: pp.341-342
  • Istanbul Technical University Affiliated: No


Selection, mutation and crossover are the parameters that stipulate the evolution process. These three methods are used by the genetic algorithms. We've tried to apply genetic algorithms in mining industry, particularly in concentrating the manganese. It's necessary to optimize several parameters for that. In Adaptive genetic algorithms were applied Hamming weight and Hamming distance for selection and crossover. By Hamming Distance we search in chromosomes the similarity combinations and define the crossover point.