محمد سجاد مسعودی
محمد سجاد مسعودی
استادیار عمران

Smell Bees Optimization algorithm for continuous engineering problem

نویسندگانMohammad Sajjad Massoudi-Sepehr Sarjamei-Mehdi Esfandi Sarafraz
نشریهAsian Journal of Civil Engineering
ارائه به نام دانشگاهDepartment of Civil Engineering, West Tehran Branch, Islamic Azad University, Tehran, Iran
نوع مقالهFull Paper
تاریخ انتشار2020-05-13
رتبه نشریهعلمی - پژوهشی
نوع نشریهچاپی
کشور محل چاپایران

چکیده مقاله

<p>&lt;p dir=&quot;ltr&quot; style=&quot;text-align: justify;&quot;&gt;&lt;span style=&quot;display: inline !important; float: none; background-color: rgb(252, 252, 252); color: rgb(51, 51, 51); font-family: Georgia,Palatino,serif; font-size: 18px; font-style: normal; font-variant: normal; font-weight: 400; letter-spacing: normal; line-height: 1.8; orphans: 2; overflow-wrap: break-word; text-align: left; text-decoration: none; text-indent: 0px; text-transform: none; -webkit-text-stroke-width: 0px; white-space: normal; word-spacing: 0px;&quot;&gt;Nowadays, optimization meta-heuristic algorithms are used in different fields of science, including a computer, mechanics and civil engineering. The algorithms are inspired by the laws governing nature, such as the principle of physics, an association of animals or finding and hunting food by animals. Using the smell sense of a bee insect, called Smell Bees Optimization (SBO), the present paper proposes an optimization algorithm that is meta-heuristic and inspired by nature. To verify and validate, the proposed algorithm, benchmark functions and engineering design examples were applied, which were previously optimized using different algorithms. In doing so, such as a cantilever beam, pressure vessel, three-bar truss, tension/compression spring and a welded beam were applied, which were previously optimized using different algorithms. In order to run programming, MATLAB was used. The results obtained by SBO are compared to the previous algorithms, optimized solutions of engineering examples are improved, and the target global minimums of the standard benchmark functions are almost obtained.&lt;/span&gt;&lt;/p&gt;</p>

لینک ثابت مقاله

tags: Smell bees algorithm- Meta-heuristic- optimal design Optimization -Continuous optimization- SBO