Accelerated Arithmetic Optimization Algorithm by Cuckoo Search for Solving Engineering Design Problems

被引:10
|
作者
Hijjawi, Mohammad [1 ]
Alshinwan, Mohammad [1 ,2 ]
Khashan, Osama A. [3 ]
Alshdaifat, Marah [4 ]
Almanaseer, Waref [1 ]
Alomoush, Waleed [5 ]
Garg, Harish [6 ,7 ,8 ,9 ]
Abualigah, Laith [2 ,7 ,10 ]
机构
[1] Appl Sci Private Univ, Fac Informat Technol, Amman 11931, Jordan
[2] Middle East Univ, MEU Res Unit, Amman 11831, Jordan
[3] Rabdan Acad, Res & Innovat Ctr, POB 114646, Abu Dhabi, U Arab Emirates
[4] Hashemite Univ, Fac Engn, Dept Civil Engn, Zarqa 13133, Jordan
[5] Skyline Univ Coll, Sch Informat Technol, POB 1797, Sharjah, U Arab Emirates
[6] Thapar Inst Engn & Technol Deemed Univ, Sch Math, Patiala 147004, India
[7] Appl Sci Private Univ, Appl Sci Res Ctr, Amman 11931, Jordan
[8] Graph Era Deemed Be Univ, Dept Math, Dehra Dun 248002, India
[9] Islamic Univ, Coll Tech Engn, Najaf 54001, Iraq
[10] Al Al Bayt Univ, Prince Hussein Bin Abdullah Fac Informat Technol, Comp Sci Dept, Mafraq 25113, Jordan
关键词
machine learning; AOA; cuckoo search; welded beam; Truss bar;
D O I
10.3390/pr11051380
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Several metaheuristic algorithms have been implemented to solve global optimization issues. Nevertheless, these approaches require more enhancement to strike a suitable harmony between exploration and exploitation. Consequently, this paper proposes improving the arithmetic optimization algorithm (AOA) to solve engineering optimization issues based on the cuckoo search algorithm called AOACS. The developed approach uses cuckoo search algorithm operators to improve the ability of the exploitation operations of AOA. AOACS enhances the convergence ratio of the presented technique to find the optimum solution. The performance of the AOACS is examined using 23 benchmark functions and CEC-2019 functions to show the ability of the proposed work to solve different numerical optimization problems. The proposed AOACS is evaluated using four engineering design problems: the welded beam, the three-bar truss, the stepped cantilever beam, and the speed reducer design. Finally, the results of the proposed approach are compared with state-of-the-art approaches to prove the performance of the proposed AOACS approach. The results illustrated an outperformance of AOACS compared to other methods of performance measurement.
引用
收藏
页数:34
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