arrow
Return

Sizing truss structures using teaching-learning-based optimization

delete2013-04-01
delete176
PRE
AI
S
S.O. Degertekin *
M
M.S. Hayalioglu
DOI:10.1016/j.compstruc.2012.12.011delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
Meta-heuristic search methods have been extensively used for optimization of truss structures over the past two decades. In this study, a new meta-heuristic search method called 'teaching-learning-based optimization' (TLBO) is applied for optimization of truss structures. The method makes use of the analogy between the learning process of learners and searching for designs to optimization problems. The TLBO consists of two phases: teacher phase and learner phase. 'Teacher phase' means learning from the teacher and 'learner phase' means learning by the interaction between learners. The validity of the method is demonstrated by the four design examples. Results obtained for the design examples revealed that although the TLBO developed slightly heavier designs than the other meta-heuristic methods in a few cases, it obtained results as good as or better than the other meta-heuristic optimization methods in terms of both the optimum solutions and the convergence capability in most cases. (C) 2012 Elsevier Ltd. All rights reserved.
Keywords:
Structural optimization
Truss structures
Teaching-learning-based optimization
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

C
Computers and Structures
IF:
4.8
Papers:
6.2K
Citations:
1.7W

Organization

No organization information available
Cited Papers

Cited Papers

errShare
errSave
Health information for human biomonitoring studies
err2022-09-01
err0
errOAAI
errHanna Tolonen; Anna-Maria Andersson; Stine Agergaard Holmboe; Helle Margrete Meltzer
errShare
errSave
errShare
errSave
researcher View more