Jordan Journal of Civil Engineering

Paper Detail

Modified Simulated Annealing Algorithm for Discrete Sizing Optimization of Truss Structure

Volume 12, No. 4, 2018
Received: 2018/09/12, Accepted:


Carlos Millán-Páramo;


The main goal of structural optimization is to minimize the weight of structures while satisfying all design requirements imposed by design codes. In this paper, the Modified Simulated Annealing Algorithm (MSAA) is implemented to minimize the weight of truss structures with discrete sizing variables. MSSA is a newly improved version of the simulated annealing (SA) algorithm with three modifications: preliminary exploration, search step and a new probability of acceptance. The reliability of the MSAA is demonstrated through five optimization problems of truss structures with discrete design variables. Numerical results indicate that MSAA can minimize the overall weight of truss structures subjected to stress and displacement constraints.


Modified simulated annealing algorithm (MSAA), Discrete sizing optimization, Structural optimization, Truss structures