Volume 10, Issue 3 (6-2020)                   IJOCE 2020, 10(3): 365-389 | Back to browse issues page

XML Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Shahrouzi M. SWITCHING TEAMS ALGORITHM FOR SIZING OPTIMIZATION OF TRUSS STRUCTURES. IJOCE 2020; 10 (3) :365-389
URL: http://ijoce.iust.ac.ir/article-1-442-en.html
Abstract:   (13464 Views)
Meta-heuristics have received increasing attention in recent years. The present article introduces a novel method in such a class that distinguishes a number of artificial search agents called players within two teams. At each iteration, the active player concerns some other players in both teams to construct its special movements and to get more score. At the end of some iterations (like quarters of a sports game) the teams switch their places for fair play. The algorithm is developed to solve a general purpose optimization problem; however, in this article its application is illustrated on structural sizing design. Switching Teams Algorithm is presented as a parameter-less population-based algorithm utilizing just two control parameters. The proposed method can recover diversity in a novel manner compared to other meta-heuristics in order to capture global optima.
Full-Text [PDF 1424 kb]   (3978 Downloads)    
Type of Study: Research | Subject: Optimal design
Received: 2020/06/8 | Accepted: 2020/06/8 | Published: 2020/06/8

Add your comments about this article : Your username or Email:
CAPTCHA

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Iran University of Science & Technology

Designed & Developed by : Yektaweb