New Hybrid Perturbed Projected Gradient and Simulated Annealing Algorithms for Global Optimization

被引:1
|
作者
Belkourchia, Yassin [1 ]
Es-Sadek, Mohamed Zeriab [1 ]
Azrar, Lahcen [1 ,2 ]
机构
[1] Mohammed V Univ Rabat, Res Ctr STIS, Dept Appl Math & Informat, ENSAM,M2CS, Rabat, Morocco
[2] King Abdulaziz Univ, Fac Engn, Dept Mech Engn, Jeddah, Saudi Arabia
关键词
Global optimization; Projected gradient; Stochastic perturbation; Simulated annealing; Constrained optimization; PARTICLE SWARM OPTIMIZATION; HARMONY SEARCH ALGORITHM; ANT COLONY OPTIMIZATION; ARTIFICIAL BEE COLONY; KRILL HERD ALGORITHM; ENGINEERING OPTIMIZATION; CONSTRAINED OPTIMIZATION; DIFFERENTIAL EVOLUTION; OPERATOR;
D O I
10.1007/s10957-023-02210-7
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
The main objective of this works is to present an efficient hybrid optimization approach using a new coupling technique for solving constrained engineering design problems. This hybrid is based on the simulated annealing algorithm with the projected gradient and its stochastic perturbation. The proposed hybrid is combined with corrected techniques in order to correct the solutions out of domain and send them to the domain's border. The proposed algorithm is tested and evaluated on several benchmark functions, as well as on the basis of some engineering design problems. The obtained results are well compared with typical approaches existing in the literature. The solutions obtained by the proposed hybrid are more accurate than those given by other known methods and the performance and efficiency of the proposed algorithm are demonstrated.
引用
收藏
页码:438 / 475
页数:38
相关论文
共 50 条
  • [41] A Robust Adaptive Hybrid Genetic Simulated Annealing Algorithm for the global optimization of multimodal functions
    Xu, Qiaoling
    Zhang, Gongwang
    Zhao, Chao
    An, Aimin
    2011 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, 2011, : 7 - +
  • [42] Genetic algorithms and simulated annealing in optimization of damped supports
    Slavik, J
    Slama, L
    Krejsa, J
    PROCEEDINGS OF THE THIRD NORDIC WORKSHOP ON GENETIC ALGORITHMS AND THEIR APPLICATIONS (3NWGA), 1997, : 255 - 264
  • [43] Machining condition optimization by genetic algorithms and simulated annealing
    Khan, Z
    Prasad, B
    Singh, T
    COMPUTERS & OPERATIONS RESEARCH, 1997, 24 (07) : 647 - 657
  • [44] Shape optimization with adaptive simulated annealing and genetic algorithms
    Brauer, H
    Ziolkowski, M
    Computer Engineering in Applied Electromagnetism, 2005, : 25 - 30
  • [45] Evaluating simulated annealing algorithms in the optimization of bacterial strains
    Rocha, Miguel
    Mendes, Rui
    Maia, Paulo
    Pinto, Jose P.
    Rocha, Isabel
    Ferreira, Eugenio C.
    PROGRESS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2007, 4874 : 473 - +
  • [46] OPTIMIZATION ALGORITHMS - SIMULATED ANNEALING AND NEURAL NETWORK PROCESSING
    JEFFREY, W
    ROSNER, R
    ASTROPHYSICAL JOURNAL, 1986, 310 (01): : 473 - 481
  • [47] Benchmark testing of simulated annealing, adaptive random search and genetic algorithms for the global optimization of bioprocesses
    Oliveira, R
    Salcedo, R
    Adaptive and Natural Computing Algorithms, 2005, : 292 - 295
  • [48] Grid Resource Selection Optimization with Guarantee Quality of Service by Hybrid of Genetic and Simulated Annealing Algorithms
    Shirgahi, Hossein
    Danesh, Malihe
    Danesh, Najmeh
    WORLD CONGRESS ON ENGINEERING AND COMPUTER SCIENCE, VOLS 1 AND 2, 2010, : 1104 - 1108
  • [49] New technique for global solar radiation forecasting by simulated annealing and genetic algorithms using
    Tolabi H.B.
    Ayob S.M.
    Applied Solar Energy, 2014, 50 (3) : 202 - 206
  • [50] GDESA: Gradient Differential Evolution-Simulated Annealing Hybrid
    Soonjun, Bhumrapee
    Krityakierne, Tipaluck
    IEEE ACCESS, 2024, 12 : 165555 - 165581