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, Amerika Birleşik Devletleri, 8 - 12 Temmuz 2006, ss.1397-1398 identifier

  • Basıldığı Şehir: Washington
  • Basıldığı Ülke: Amerika Birleşik Devletleri
  • Sayfa Sayıları: ss.1397-1398


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.