Sciweavers

Share
GECCO
2006
Springer

A comparative study of evolutionary optimization techniques in dynamic environments

11 years 5 months ago
A comparative study of evolutionary optimization techniques in dynamic environments
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. Categories and Subject Descriptors I.2.8 [Artificial Intelligence]: Problem Solving, Control Methods and Search
Demet Ayvaz, Haluk Topcuoglu, Fikret S. Gürge
Added 23 Aug 2010
Updated 23 Aug 2010
Type Conference
Year 2006
Where GECCO
Authors Demet Ayvaz, Haluk Topcuoglu, Fikret S. Gürgen
Comments (0)
books