An Application Of Dingo Optimization Algorithm (DOA) For Solving Continuous Engineering Problems

被引:8
作者
Milenkovic, Branislav [1 ]
Jovanovic, Dorde [1 ]
Krstic, Mladen [2 ]
机构
[1] Math Inst SASA, Kneza Mihaila 36, Belgrade 10000, Serbia
[2] Univ Kragujevac, Fac Mech & Civil Engn, Kragujevac, Serbia
来源
FME TRANSACTIONS | 2022年 / 50卷 / 02期
关键词
optimization; dingo; engineering; metaheuristic; ANT COLONY OPTIMIZATION;
D O I
10.5937/fme2201331M
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
In the current research, problems in engineering are becoming more and more prominent. One of the classes of engineering problems in engineering design problems, where a set of variables is calibrated in order for the optimization function to have a minimal or maximal value. efficiency in engineering design. One of the ways such problems are solved is metaheuristics. In this paper, we demonstrate how Dingo Optimization Algorithm (DOA) can be used to solve certain optimization problems in mechanical engineering. Firstly, a brief review of the DOA and its biological inspiration is given, along with the most important formulae. The pseudo-code for this algorithm was written using MATLAB R2020a software suite. Dingo Optimization Algorithm (DOA) was used to optimize engineering problems, such as pressure vessel optimization, stepped cantilever beam, car side-impact, and cone clutch optimization. The results presented in this paper show that the DOA can produce relevant results in engineering design problems.
引用
收藏
页码:331 / 338
页数:8
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