A comparative study of evolutionary optimization techniques in dynamic environments


Ayvaz D., Topcuoglu H. R. , Gurgen F.

8th Annual Genetic and Evolutionary Computation Conference, Washington, United States Of America, 8 - 12 July 2006, pp.1397-1398 identifier

  • Publication Type: Conference Paper / Full Text
  • City: Washington
  • Country: United States Of America
  • Page Numbers: pp.1397-1398

Abstract

Genetic Algorithms have widely been used for solving optimization problems in stationary environments. In recent years, there has been a growing interest for investigating and improving the performance of these algorithms in dynamic environments where the fitness landscape changes. In this study, we present an extensive comparison of several algorithms with different characteristics on a common platform by using the moving peaks benchmark and by varying problem parameters.