دوره 9، شماره 2 - ( 1-1398 )                   جلد 9 شماره 2 صفحات 195-212 | برگشت به فهرست نسخه ها

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Gholizadeh S, Sojoudizadeh R. Modified Sine-Cosine Algorithm for Sizing Optimization of Truss Structures with Discrete Design Variables. International Journal of Optimization in Civil Engineering. 2019; 9 (2) :195-212
URL: http://ijoce.iust.ac.ir/article-1-384-fa.html
Modified Sine-Cosine Algorithm for Sizing Optimization of Truss Structures with Discrete Design Variables. دانشگاه علم و صنعت ایران. 1398; 9 (2) :195-212

URL: http://ijoce.iust.ac.ir/article-1-384-fa.html


چکیده:   (480 مشاهده)
This paper proposes a modified sine cosine algorithm (MSCA) for discrete sizing optimization of truss structures. The original sine cosine algorithm (SCA) is a population-based metaheuristic that fluctuates the search agents about the best solution based on sine and cosine functions. The efficiency of the original SCA in solving standard optimization problems of well-known mathematical functions has been demonstrated in literature. However, its performance in tackling the discrete optimization problems of truss structures is not competitive compared with the existing metaheuristic algorithms. In the framework of the proposed MSCA, a number of worst solutions of the current population is replaced by some variants of the global best solution found so far. Moreover, an efficient mutation operator is added to the algorithm that reduces the probability of getting stuck in local optima. The efficiency of the proposed MSCA is illustrated through multiple benchmark optimization problems of truss structures.
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نوع مطالعه: پژوهشي | موضوع مقاله: Optimal design
دریافت: ۱۳۹۷/۷/۱۱ | پذیرش: ۱۳۹۷/۷/۱۱ | انتشار: ۱۳۹۷/۷/۱۱

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