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
相关论文
共 50 条
  • [41] Exploratory cuckoo search for solving single-objective optimization problems
    Abed-alguni, Bilal H.
    Alawad, Noor Aldeen
    Barhoush, Malek
    Hammad, Rafat
    SOFT COMPUTING, 2021, 25 (15) : 10167 - 10180
  • [42] Opposition-Based Cuckoo Search Algorithm for Optimization Problems
    Zhao, Pengjun
    Li, Huirong
    2012 FIFTH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID 2012), VOL 1, 2012, : 344 - 347
  • [43] Solving Engineering Optimization Design Problems Based on Improved JAYA Algorithm
    Liu J.-S.
    Yang J.
    Li Y.
    Tien Tzu Hsueh Pao/Acta Electronica Sinica, 2023, 51 (09): : 2469 - 2480
  • [44] Adaptive cuckoo search algorithm for continuous function optimization problems
    Chi, Rui
    Su, Yi-xin
    Zhang, Dan-hong
    Chi, Xue-xin
    PROCEEDINGS OF THE 2016 12TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2016, : 672 - 676
  • [45] Performance of a modified cuckoo search algorithm for unconstrained optimization problems
    Tuba, Milan
    Subotic, Milos
    Stanarevic, Nadezda
    WSEAS Transactions on Systems, 2012, 11 (02): : 62 - 74
  • [46] Application of Cuckoo Search algorithm to Loading Pattern Optimization problems
    de Moura Meneses, Anderson Alvarenga
    da Silva, Patrick Vasconcelos
    Nast, Fernando Nogueira
    Araujo, Lenilson Moreira
    Schirru, Roberto
    ANNALS OF NUCLEAR ENERGY, 2020, 139
  • [47] Tangent search algorithm for solving optimization problems
    Abdesslem Layeb
    Neural Computing and Applications, 2022, 34 : 8853 - 8884
  • [48] Tangent search algorithm for solving optimization problems
    Layeb, Abdesslem
    NEURAL COMPUTING & APPLICATIONS, 2022, 34 (11): : 8853 - 8884
  • [49] A novel hybrid arithmetic optimization algorithm for solving constrained optimization problems
    Yildiz, Betul Sultan
    Kumar, Sumit
    Panagant, Natee
    Mehta, Pranav
    Sait, Sadiq M.
    Yildiz, Ali Riza
    Pholdee, Nantiwat
    Bureerat, Sujin
    Mirjalili, Seyedali
    KNOWLEDGE-BASED SYSTEMS, 2023, 271
  • [50] Optimization of Engineering Design Problems Using Atomic Orbital Search Algorithm
    Azizi, Mahdi
    Talatahari, Siamak
    Giaralis, Agathoklis
    IEEE ACCESS, 2021, 9 : 102497 - 102519