
Reliability-Based Design Optimization of Trusses with Linked-Discrete Design Variables using the Improved Firefly Algorithm
Author(s) -
Nader M. Okasha
Publication year - 2016
Publication title -
engineering, technology and applied science research/engineering, technology and applied science research
Language(s) - English
Resource type - Journals
eISSN - 2241-4487
pISSN - 1792-8036
DOI - 10.48084/etasr.675
Subject(s) - truss , firefly algorithm , reliability (semiconductor) , latin hypercube sampling , mathematical optimization , computer science , convergence (economics) , process (computing) , algorithm , mathematics , reliability engineering , engineering , structural engineering , monte carlo method , statistics , power (physics) , physics , quantum mechanics , particle swarm optimization , economics , economic growth , operating system
In this paper, an approach for conducting a Reliability-Based Design Optimization (RBDO) of truss structures with linked-discrete design variables is proposed. The sections of the truss members are selected from the AISC standard tables and thus the design variables that represent the properties of each section are linked. Latin hypercube sampling is used in the evaluation of the structural reliability. The improved firefly algorithm is used for the optimization solution process. It was found that in order to use the improved firefly algorithm for efficiently solving problems of reliability-based design optimization with linked-discrete design variables; it needs to be modified as proposed in this paper to accelerate its convergence.