Volume 10, Issue 3 (6-2020)
IJOCE 2020, 10(3): 365-389 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
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
URL: http://ijoce.iust.ac.ir/article-1-442-en.html
Abstract: (15181 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.
Keywords: new meta-heuristic algorithm, constrained optimization, parameter-less method, structural design.
Type of Study: Research |
Subject:
Optimal design
Received: 2020/06/8 | Accepted: 2020/06/8 | Published: 2020/06/8
Received: 2020/06/8 | Accepted: 2020/06/8 | Published: 2020/06/8
| Rights and permissions | |
 | This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
