Genetic Algorithms for Optimization of 3D Truss Structures


TOĞAN V. , Daloglu A. T.

METAHEURISTICS AND OPTIMIZATION IN CIVIL ENGINEERING, vol.7, pp.115-134, 2016 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 7
  • Publication Date: 2016
  • Doi Number: 10.1007/978-3-319-26245-1_6
  • Title of Journal : METAHEURISTICS AND OPTIMIZATION IN CIVIL ENGINEERING
  • Page Numbers: pp.115-134

Abstract

Various optimization techniques have been applied to find the optimum solutions of structural design problems in the last 50 or 60 years. Simple structural optimization problems with continuous design variables have been solved initially using mathematically diverse techniques. New approaches called meta-heuristic techniques have been emerging along with the progress of traditional methods. This chapter first introduces the mathematical formulations of optimization problems and then gives a summary and development process of the preliminary techniques such as genetic algorithm (GA) in obtaining the optimum solutions. The mathematical formulations of the structural optimization problems are associated with the design variables, loads, structural responses, and constraints. Strategies are proposed to improve the performance of the technique to reduce the number of search and the size of the problem. Finally, some examples related to 3D truss structures are presented.