Antioptimisation of Trusses Using Two-Level Population-Based Incremental Learning
Joint Authors
Bureerat, Sujin
Tontragunrat, Phinit
Source
Journal of Applied Mathematics
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-04-11
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Practical optimum design of structures often involves parameters with uncertainties.
There have been several ways to deal with such optimisation problems, and one of the approaches is an antioptimisation process.
The task is to find the optimum solution of common design variables while simultaneously searching for the worst case scenario of those parameters with uncertainties.
This paper proposed a metaheuristic based on population-based incremental learning (PBIL) for solving antioptimisation of trusses.
The new algorithm is called two-level PBIL which consists of outer and inner loops.
Five antioptimisation problems are posed to test the optimiser performance.
The numerical results show that the concept of using PBIL probability vectors for handling the antioptimisation of truss is powerful and effective.
The two-level PBIL can be considered a powerful optimiser for antioptimisation of trusses.
American Psychological Association (APA)
Tontragunrat, Phinit& Bureerat, Sujin. 2013. Antioptimisation of Trusses Using Two-Level Population-Based Incremental Learning. Journal of Applied Mathematics،Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-471957
Modern Language Association (MLA)
Tontragunrat, Phinit& Bureerat, Sujin. Antioptimisation of Trusses Using Two-Level Population-Based Incremental Learning. Journal of Applied Mathematics No. 2013 (2013), pp.1-12.
https://search.emarefa.net/detail/BIM-471957
American Medical Association (AMA)
Tontragunrat, Phinit& Bureerat, Sujin. Antioptimisation of Trusses Using Two-Level Population-Based Incremental Learning. Journal of Applied Mathematics. 2013. Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-471957
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-471957