Modified Simulated Annealing Algorithm For Discrete Sizing Optimization Of Truss Structure

Submitted	2018-09-12
Last Update	2018-09-12
Title	Modified Simulated Annealing Algorithm For Discrete Sizing Optimization Of Truss Structure
Author(s)	Author #1 Author title: Name: Carlos Mill�n-P�ramo Org: Professor, Department of Civil Engineering, University of Sucre, Sincelejo, Sucre, Colombia Country: Email: carlos.millan@unisucre.edu.co
Other Author(s)
Contact Author	Author #1 Alt Email: carlos.millan@unisucre.edu.co Telephone:
Keywords	Modified simulated annealing algorithm (MSAA), Discrete sizing optimization, Structural optimization, Truss structures
Abstract	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.
Paper	4474.pdf (524KB)