محمد سجاد مسعودی
محمد سجاد مسعودی
استادیار عمران

The CMA evolution strategy based size optimization of truss structures

نویسندگانA Kaveh - M Kalateh Ahani - MS Masoudi
نشریهInternational Journal of Optimization in Civil Engineering
نوع مقالهFull Paper
تاریخ انتشار2011-01-01
رتبه نشریهعلمی - پژوهشی
نوع نشریهچاپی
کشور محل چاپایران

چکیده مقاله

Abstract. 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.

لینک ثابت مقاله

tags: The covariance matrix adaptation evolution strategy; metaheuristics; space truss structures; size optimization