Print Email Facebook Twitter Size and Topology Optimization for Trusses with Discrete Design Variables by Improved Firefly Algorithm Title Size and Topology Optimization for Trusses with Discrete Design Variables by Improved Firefly Algorithm Author Wu, Yue (Harbin Institute of Technology) Li, Q. (TU Delft Structural Design & Mechanics; Harbin Institute of Technology) Hu, Qingjie (Hangzhou Xiaoshan Urban Planning Institute) Borgart, A. (TU Delft Structural Design & Mechanics) Date 2017-06-04 Abstract Firefly Algorithm (FA, for short) is inspired by the social behavior of fireflies and their phenomenon of bioluminescent communication. Based on the fundamentals of FA, two improved strategies are proposed to conduct size and topology optimization for trusses with discrete design variables. Firstly, development of structural topology optimization method and the basic principle of standard FA are introduced in detail. Then, in order to apply the algorithm to optimization problems with discrete variables, the initial positions of fireflies and the position updating formula are discretized. By embedding the random-weight and enhancing the attractiveness, the performance of this algorithm is improved, and thus an Improved Firefly Algorithm (IFA, for short) is proposed. Furthermore, using size variables which are capable of including topology variables and size and topology optimization for trusses with discrete variables is formulated based on the Ground Structure Approach. The essential techniques of variable elastic modulus technology and geometric construction analysis are applied in the structural analysis process. Subsequently, an optimization method for the size and topological design of trusses based on the IFA is introduced. Finally, two numerical examples are shown to verify the feasibility and efficiency of the proposed method by comparing with different deterministic methods. To reference this document use: http://resolver.tudelft.nl/uuid:dcc86ada-842a-4a9a-8444-e9b1ca1ea8c3 DOI https://doi.org/10.1155/2017/1457297 ISSN 1024-123X Source Mathematical Problems in Engineering: theory, methods and applications, 2017 Part of collection Institutional Repository Document type journal article Rights © 2017 Yue Wu, Q. Li, Qingjie Hu, A. Borgart Files PDF Size_and_Topology_Optimiz ... orithm.pdf 2.77 MB Close viewer /islandora/object/uuid:dcc86ada-842a-4a9a-8444-e9b1ca1ea8c3/datastream/OBJ/view