A New Genetic Algorithm Methodology for Design Optimization of Truss Structures : Bipopulation-Based Genetic Algorithm with Enhanced Interval Search
Author
Source
Modelling and Simulation in Engineering
Issue
Vol. 2009, Issue 2009 (31 Dec. 2009), pp.1-28, 28 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2009-07-12
Country of Publication
Egypt
No. of Pages
28
Main Subjects
Abstract EN
A new genetic algorithm (GA) methodology, Bipopulation-Based Genetic Algorithm with Enhanced Interval Search (BGAwEIS), is introduced and used to optimize the design of truss structures with various complexities.
The results of BGAwEIS are compared with those obtained by the sequential genetic algorithm (SGA) utilizing a single population, a multipopulation-based genetic algorithm (MPGA) proposed for this study and other existing approaches presented in literature.
This study has two goals: outlining BGAwEIS's fundamentals and evaluating the performances of BGAwEIS and MPGA.
Consequently, it is demonstrated that MPGA shows a better performance than SGA taking advantage of multiple populations, but BGAwEIS explores promising solution regions more efficiently than MPGA by exploiting the feasible solutions.
The performance of BGAwEIS is confirmed by better quality degree of its optimal designations compared to algorithms proposed here and described in literature.
American Psychological Association (APA)
Talaslioglu, Tugrul. 2009. A New Genetic Algorithm Methodology for Design Optimization of Truss Structures : Bipopulation-Based Genetic Algorithm with Enhanced Interval Search. Modelling and Simulation in Engineering،Vol. 2009, no. 2009, pp.1-28.
https://search.emarefa.net/detail/BIM-485303
Modern Language Association (MLA)
Talaslioglu, Tugrul. A New Genetic Algorithm Methodology for Design Optimization of Truss Structures : Bipopulation-Based Genetic Algorithm with Enhanced Interval Search. Modelling and Simulation in Engineering No. 2009 (2009), pp.1-28.
https://search.emarefa.net/detail/BIM-485303
American Medical Association (AMA)
Talaslioglu, Tugrul. A New Genetic Algorithm Methodology for Design Optimization of Truss Structures : Bipopulation-Based Genetic Algorithm with Enhanced Interval Search. Modelling and Simulation in Engineering. 2009. Vol. 2009, no. 2009, pp.1-28.
https://search.emarefa.net/detail/BIM-485303
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-485303