دوره 5، شماره 2 - ( 12-1393 )                   جلد 5 شماره 2 صفحات 151-165 | برگشت به فهرست نسخه ها


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Dizangian B, Ghasemi M R. RELIABILITY-BASED DESIGN OPTIMIZATION OF COMPLEX FUNCTIONS USING SELF-ADAPTIVE PARTICLE SWARM OPTIMIZATION METHOD . International Journal of Optimization in Civil Engineering. 2015; 5 (2) :151-165
URL: http://ijoce.iust.ac.ir/article-1-205-fa.html
RELIABILITY-BASED DESIGN OPTIMIZATION OF COMPLEX FUNCTIONS USING SELF-ADAPTIVE PARTICLE SWARM OPTIMIZATION METHOD . دانشگاه علم و صنعت ایران. 1393; 5 (2) :151-165

URL: http://ijoce.iust.ac.ir/article-1-205-fa.html


چکیده:   (1961 مشاهده)
A Reliability-Based Design Optimization (RBDO) framework is presented that accounts for stochastic variations in structural parameters and operating conditions. The reliability index calculation is itself an iterative process, potentially employing an optimization technique to find the shortest distance from the origin to the limit-state boundary in a standard normal space. Monte Carlo simulation (MCs) is embedded into a design optimization procedure by a modular double loop approach, which the self-adaptive version of particle swarm optimization method is introduced as an optimization technique. Double loop method has the advantage of being simple in concepts and easy to implement. First, we study the efficiency of self-adaptive PSO algorithm inorder to solve the optimization problem in reliability analysis and then compare the results with the Monte Carlo simulation. While computationally significantly more expensive than deterministic design optimization, the examples illustrate the importance of accounting for uncertainties and the need for regarding reliability-based optimization methods and also, should encourage the use of PSO as the best of evolutionary optimization methods to more such reliability-based optimization problems.
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نوع مطالعه: پژوهشي | موضوع مقاله: Optimal design
دریافت: ۱۳۹۳/۱۲/۱۹ | پذیرش: ۱۳۹۳/۱۲/۱۹ | انتشار: ۱۳۹۳/۱۲/۱۹

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