A Grey Wolf Optimizer-based Fractional Calculus in Studies on Solar Drying

被引:6
|
作者
Abdelkader, M. [1 ]
Laidi, M. [1 ]
Hanini, S. [1 ]
Hentabli, M. [2 ]
Amrane, A. [3 ]
机构
[1] Univ Medea, Lab Biomat & Transport Phenomena LBMPT, Medea, Algeria
[2] ANTIBIOT SAIDAL Medea, Physicochem Dept, Lab Qual Control, Medea, Algeria
[3] Univ Rennes, Ecole Natl Super Chim Rennes, CNRS, ISCR,UMR6226, F-35000 Rennes, France
来源
KEMIJA U INDUSTRIJI-JOURNAL OF CHEMISTS AND CHEMICAL ENGINEERS | 2021年 / 70卷 / 1-2期
关键词
Fractional calculus; solar drying; modelling; Grey Wolf Optimizer; moisture ratio; DIFFUSION; KINETICS; TOMATO;
D O I
10.15255/KUI.2020.035
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
In this novel article, a comparative study has been conducted between analytical and fractional solution of Fick's first- and second-order of diffusion to model the solar drying process of different products and dryers under different operating parameters. Laplace and Laplace's inverse transform have been used to obtain the solution in function with two parameters: the order index n and the fractional time index a of the above Fick's laws, and their parameters have been non-linearly optimised using a grey wolf optimisation (GWO) algorithm. The results showed that the anomalous diffusion phenomenon during the drying process is best described by the fractional-order model. Values obtained using the model MR12 were in better agreement with the experimental data than the values obtained using the other selected models with very acceptable statistical parameters.
引用
收藏
页码:39 / 47
页数:9
相关论文
共 50 条
  • [41] A Novel Hybrid Algorithm Based on Grey Wolf Optimizer and Fireworks Algorithm
    Yue, Zhihang
    Zhang, Sen
    Xiao, Wendong
    SENSORS, 2020, 20 (07)
  • [42] Opposition-based learning grey wolf optimizer for global optimization
    Yu, Xiaobing
    Xu, WangYing
    Li, ChenLiang
    KNOWLEDGE-BASED SYSTEMS, 2021, 226
  • [43] Grey Wolf Optimizer Based Deep Learning for Pancreatic Nodule Detection
    Thanya, T.
    Franklin, S. Wilfred
    INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2023, 36 (01): : 97 - 112
  • [44] A Novel Spherical Search Based Grey Wolf Optimizer for Optimization Problems
    Wang, Zhe
    Yang, Haichuan
    Wang, Ziqian
    Todo, Yuki
    Tang, Zheng
    Gao, Shangce
    PROCEEDINGS OF 2020 IEEE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INFORMATION SYSTEMS (ICAIIS), 2020, : 38 - 43
  • [45] An Improved Grey Wolf Optimizer Based on Differential Evolution and OTSU Algorithm
    Liu, Yuanyuan
    Sun, Jiahui
    Yu, Haiye
    Wang, Yueyong
    Zhou, Xiaokang
    APPLIED SCIENCES-BASEL, 2020, 10 (18):
  • [46] A new hybrid algorithm based on grey wolf optimizer and cuckoo search for parameter extraction of solar photovoltaic models
    Long, Wen
    Cai, Shaohong
    Jiao, Jianjun
    Xu, Ming
    Wu, Tiebin
    ENERGY CONVERSION AND MANAGEMENT, 2020, 203
  • [47] Multi-Objective Grey Wolf Optimizer Based on Improved Head Wolf Selection Strategy
    Zhang, Zhaojun
    Xu, Tao
    Zou, Kuansheng
    Tan, Simeng
    Sun, Zhenzhen
    2024 43RD CHINESE CONTROL CONFERENCE, CCC 2024, 2024, : 1922 - 1927
  • [48] A novel hybrid algorithm based on Biogeography-Based Optimization and Grey Wolf Optimizer
    Zhang, Xinming
    Kang, Qiang
    Cheng, Jinfeng
    Wang, Xia
    APPLIED SOFT COMPUTING, 2018, 67 : 197 - 214
  • [49] A Levy Flight-based Decomposition Multiobjective Optimization Based on Grey Wolf Optimizer
    Khubroo, Masoumeh
    Mousavirad, Seyed Jalaleddin
    2019 9TH INTERNATIONAL CONFERENCE ON COMPUTER AND KNOWLEDGE ENGINEERING (ICCKE 2019), 2019, : 155 - 161
  • [50] Chaotic-based grey wolf optimizer for numerical and engineering optimization problems
    Chao Lu
    Liang Gao
    Xinyu Li
    Chengyu Hu
    Xuesong Yan
    Wenyin Gong
    Memetic Computing, 2020, 12 : 371 - 398