Evolution Strategies (ES) are a class of Evolutionary Algorithms based on Gaussian mutation
and deterministic selection. Gaussian mutation captures pair-wise dependencies between the
variables through a covariance matrix. Covariance Matrix Adaptation (CMA) is a method to
update this covariance matrix. In this paper, the CMA-ES, which has found many applications
in solving continuous optimization problems, is employed for size optimization of steel space
trusses. Design examples reveal competitive performance of the algorithm compared to the
other advanced metaheuristics.
کلید واژگان :
The covariance matrix adaptation evolution strategy; metaheuristics; space truss structures; size optimization
