NDLI: Reliability-based design optimization with discrete search space

Content Provider	IEEE Xplore Digital Library
Author	Yang, I.T. Hsieh, Y.H.
Copyright Year	2011
Description	Author affiliation: Department of Construction Engineering, National Taiwan Univ. of Science and Technology, Taiwan (Yang, I.T.; Hsieh, Y.H.)
Abstract	Reliability-based design optimization (RBDO) is an important function in engineering design. The goal is to find a balanced design that is not only economical but also reliable in the presence of uncertainty. Practical applications of RBDO involve discrete design variables, which are selected from commercially available lists, and non-smooth (non-differentiable) performance functions. The proposed PSO (particle swarm optimization) algorithm extends standard PSO to include two new features: auto-tuning and boundary-approaching with the goal to find the optimal design of a ten-bar truss, whose component sizes are selected from commercial standards, while reliability constraints are imposed by the current design code. In multiple trials, the AB-PSO (auto-tuning boundary-approaching PSO) algorithm is able to deliver competitive solutions with consistency.
Starting Page	90
Ending Page	94
File Size	714889
Page Count	5
File Format	PDF
ISBN	9781457706264
e-ISBN	9781457706288
DOI	10.1109/ICQR.2011.6031687
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-14
Publisher Place	Thailand
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Subset simulation Uncertainty Metaheuristic Reliability-based design optimization (RBDO) Materials Reliability engineering Acceleration Stress Particle Swarm Optimization Optimization
Content Type	Text
Resource Type	Article

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