Article
Computer Science, Artificial Intelligence
Lalit Kumar, Manish Pandey, Mitul Kumar Ahirwal
Summary: The computational time of swarm optimization algorithms, including Particle Swarm Optimization (PSO), is increased due to the large number of decision variables in complex problems. A new Global Best-Worst Particle Swarm Optimization (GBWPSO) algorithm, combining PSO and Jaya algorithm, is proposed to provide a more parallel version of the algorithm. The proposed algorithm outperforms other parallel PSO versions and Jaya algorithm in terms of computational time and optimal solution.
APPLIED SOFT COMPUTING
(2023)
Article
Computer Science, Artificial Intelligence
Yang Chen, Dechang Pi, Bi Wang, Junfu Chen, Yue Xu
Summary: In this paper, a bi-subgroup optimization algorithm (BSOA) is proposed to extract the PEMFC model parameters more precisely. By constructing and analyzing the Markov model, it is proved that the BSOA is a global convergence algorithm. The simulation results show that BSOA is an effective algorithm.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Mathematics, Interdisciplinary Applications
Da Wang, Shicun Zhao, Ke Chen, Shutang Liu
Summary: This study focuses on the inverse problem of determining system parameters based on the shape of Julia sets. An optimization approach is used to estimate the parameters, and the effectiveness of the proposed scheme is verified through simulation experiments.
FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY
(2021)
Article
Automation & Control Systems
Mudasir Ahmed Memon, Marif Daula Siddique, Saad Mekhilef, Marizan Mubin
Summary: This article proposes a hybrid asynchronous particle swarm optimization-genetic algorithm (APSO-GA) for the removal of unwanted lower order harmonics in the cascaded H-bridge multilevel inverter. The APSO-GA combines the exploration capability of APSO with the exploitation capability of GA, and is capable of easily finding feasible solutions with low computational complexity.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Engineering, Ocean
Fangyu Deng, Juan Wang, Jichao Wang
Summary: An improved particle swarm optimization (PSO) algorithm is proposed to estimate a five-parameter JONSWAP spectrum for modeling wave states at different water depths and stations. The choices of spectral parameters and nonlinear factors are important for marine structure safety. Two improvements are made in the PSO algorithm, resulting in a better fitting of spectra and more suitable estimation of wave spectrum.
APPLIED OCEAN RESEARCH
(2023)
Review
Chemistry, Multidisciplinary
Meetu Jain, Vibha Saihjpal, Narinder Singh, Satya Bir Singh
Summary: Particle swarm optimization (PSO) is a popular swarm-based optimization technique that is inspired by nature. It has gained attention from researchers in various fields due to its flexibility and easy implementation. Since its origin in 1995, researchers have improved and extended PSO, and made significant progress in theoretical analysis.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Artificial Intelligence
Feng Wang, Heng Zhang, Aimin Zhou
Summary: This paper introduces a new PSO algorithm, PSOmv, which can handle both continuous and discrete decision variables simultaneously, using a mixed-variable encoding scheme to efficiently deal with mixed variables, as well as employing an adaptive parameter tuning strategy and constraints handling method to enhance efficiency.
SWARM AND EVOLUTIONARY COMPUTATION
(2021)
Article
Engineering, Multidisciplinary
Han HongGui, Zhang LinLin, Hou Ying, Qiao JunFei
Summary: This paper proposes an adaptive candidate estimation-assisted multi-objective particle swarm optimization algorithm (ACE-MOPSO), which balances convergence and diversity by introducing evolutionary state information and developing an adaptive candidate estimation method, thereby improving the searching performance.
SCIENCE CHINA-TECHNOLOGICAL SCIENCES
(2022)
Article
Multidisciplinary Sciences
Rutinaldo Aguiar Nascimento, Alvaro Barroca Neto, Yuri Shalom de Freitas Bezerra, Hugo Alexandre Dantas do Nascimento, Liacir dos Santos Lucena, Joaquim Elias de Freitas
Summary: This paper proposes a two-phase hybrid optimization algorithm based on an improved DFO algorithm, which improves the computational efficiency and accuracy of the FWI problem through global and local minimization and clustering techniques. The reliability and efficiency of the algorithm are verified.
Article
Chemistry, Physical
Mahmut Temel Ozdemir
Summary: Researchers have proposed a new method for determining the unknown parameters of PEMFC stacks, which has been shown to be effective through numerical simulations.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2021)
Article
Computer Science, Information Systems
Jia-Jia Jiang, Wen-Xue Wei, Wan-Lu Shao, Yu-Feng Liang, Yuan-Yuan Qu
Summary: A large-scale bi-level particle swarm optimization algorithm is proposed in this paper, which addresses the slow convergence and local optimum issues of particle swarm optimization by enlarging the scale and enhancing the diversity of the initial population. The algorithm improves running efficiency by using the structural advantages of bi-level particle swarms.
Article
Automation & Control Systems
Izaz Ur Rahman, Zidong Wang, Weibo Liu, Baoliu Ye, Muhammad Zakarya, Xiaohui Liu
Summary: This study presents a novel N-state Markovian jumping PSO algorithm based on the evolution of states governed by a Markov chain, which outperforms some popular PSO algorithms in solving optimization problems.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Ying Sun, Wanyuan Shi, Yuelin Gao
Summary: In this study, a particle swarm optimization algorithm based on the improved Deb criterion (CPSO) is proposed to solve the nonlinear constrained optimization problem. The algorithm retains the information of 'excellent' infeasible solutions based on the Deb criterion, which helps in escaping local optima and quickly converging to the global optima. The DE strategy is also employed to optimize the personal best position of the particle, enhancing the global search ability and accelerating the convergence speed of the algorithm. The simulation results on benchmark problems and real-world constraint optimization problems demonstrate the effectiveness of the CPSO algorithm.
PEERJ COMPUTER SCIENCE
(2022)
Article
Computer Science, Artificial Intelligence
Hailin Liu, Fangqing Gu, Zixian Lin
Summary: This study introduces a novel auto-sharing parameter technique for transfer learning based on multi-objective optimization, which uses a multi-swarm particle swarm optimizer to solve the optimization problem. By sharing the best particle information between target and source tasks, the proposed algorithm shows effective performance across various datasets.
INTEGRATED COMPUTER-AIDED ENGINEERING
(2021)
Article
Computer Science, Information Systems
Hadi Moazen, Sajjad Molaei, Leili Farzinvash, Masoud Sabaei
Summary: This paper proposes a particle swarm optimization algorithm called PSO-ELPM, which balances the exploration and exploitation capabilities of PSO through elite learning, enhanced parameter updating, and exponential mutation operator. The algorithm uses the best-performing particles as exemplars to guide the optimization process and computes self-cognition coefficients based on these elites. It also ensures a smooth distribution of weight among the elites using the inverse of the cube root function, and applies an exponential mutation operator to determine the mutation probability per particle. Comparisons with 10 state-of-the-art PSO variants on the CEC 2017 benchmark functions show that the proposed algorithm achieves higher accuracy with acceptable time complexity.
INFORMATION SCIENCES
(2023)
Article
Green & Sustainable Science & Technology
Joao Bruno Valentim Bastos, Jeiveison Goberio Soares Santos Maia, Suzana Borschiver, Alexandre Szklo, Argimiro Resende Secchi
Summary: This study assesses the effects of scale and seasonality on the design of a sugarcane-based ethanol biorefinery and finds that the selling price of bio-MEG must be higher than fossil-based MEG to ensure competitiveness.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Engineering, Mechanical
Ataide S. Andrade Neto, Argimiro R. Secchi, Priamo A. Melo
Summary: In this paper, a novel methodology is presented for the nonlinear dynamic analysis of chemical processes. The proposed approach allows for the direct analysis of high-index systems without the need for model reformulation or index reduction. The main problems addressed are the computation of Hopf bifurcation points and the stability analysis of steady-state and periodic solutions. The developed algorithms are packaged in a MATLAB toolbox called ContiNum, which is freely distributed. An example is provided to illustrate the effectiveness of the methodology.
NONLINEAR DYNAMICS
(2022)
Article
Engineering, Chemical
Sergio A. C. Giraldo, Priamo A. Melo, Argimiro R. Secchi
Summary: A tuning procedure for a model predictive controller (MPC) for multi-input multi-output systems is presented, involving two steps based on a hybrid method. The weights of the MPC objective function and integer variables are optimized in order to achieve a controller with low computational cost and good performance, showing satisfactory results in benchmark processes.
Article
Engineering, Chemical
Felipe Valle do Nascimento, Ailton Cesar Lemes, Aline Machado de Castro, Argimiro Resende Secchi, Maria Alice Zarur Coelho
Summary: This article presents a temporal evolution perspective on the main aspects of lipase production through solid-state fermentation (SSF) using Yarrowia lipolytica. The advantages of this approach include high volumetric productivity, targeting concentrated compounds, and reducing wastewater generation.
Article
Energy & Fuels
Robson P. Barboza Junior, Mateus P. Schwalbert, Jovani L. Favero, Rodrigo A. C. Dias, Antonio O. S. Moraes, Luiz F. L. R. Silva, Roney L. Thompson
Summary: This paper proposes a mathematical model to describe the dissolution process associated with carbonate reservoir treatment. The rheology of the acid solution was experimentally obtained and fitted by a Carreau model. The model also considers the transport equation for reaction products, and the solid-liquid interaction at the porous scale. The model was validated against experimental results in plug geometry.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2022)
Article
Engineering, Mechanical
P. R. S. Costa, R. P. Barboza, R. A. C. Dias, J. L. Favero, A. O. M. Samel, M. A. Cruz, L. F. L. R. Silva, R. L. Thompson, M. P. Schwalbert
Summary: In this study, a model is proposed to predict the treatable size zones for acid reservoir stimulation, considering the coupling between well and reservoir using a 3D approach. The robust numerical code implemented using OpenFOAM(R) demonstrated that the 3D method provides qualitative and quantitative results that cannot be predicted by the simplified 2D model.
JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING
(2022)
Article
Chemistry, Analytical
R. C. de Holanda, F. C. Cunha, A. R. Secchi, A. G. Barreto Jr
Summary: Praziquantel (PZQ) is a racemic mixture used for treating Schistosomiasis disease. The enantiomer (R)-PZQ is effective while the (S)-PZQ causes adverse effects. To separate PZQ and produce medication with proven efficiency and without side effects, a LabVIEW supervisory system was developed to control all equipment in the SMB process.
INSTRUMENTATION SCIENCE & TECHNOLOGY
(2023)
Article
Chemistry, Multidisciplinary
Marcellus Gedes Fernandes de Moraes, Amaro Gomes Barreto Jr, Argimiro Resende Secchi, Mauricio B. de Souza Jr, Paulo Laranjeira da Cunha Lage, Allan S. Myerson
Summary: This study systematically investigated the polymorphism of Praziquantel (PZQ) through cooling crystallization experiments. A novel dimethylacetamide (DMA) solvate and a new form were discovered. The results reveal that solvent selection and variation in supersaturation generation can lead to forms that are not obtained by more complicated techniques and potentially find new forms.
CRYSTAL GROWTH & DESIGN
(2023)
Article
Chemistry, Multidisciplinary
Jurgen Lange Bregado, Felipe Souto, Argimiro Resende Secchi, Frederico Wanderley Tavares, Veronica Calado
Summary: This study uses atomistic simulations to analyze the hydrogen bonding network in guaiacyl-rich lignin and guaiacyl-type lignin at different temperatures. Water-bridged dimeric complexes formed by the interaction of phenolic and aliphatic hydroxyl groups and pi-pi stacking between phenol rings were found to cause a slow dynamic of lignin with temperature. The strength of interaction between water oxygen and hydroxyl groups in these complexes was established, and the formation of ice crystal structure at low temperatures explained the anti-plasticizing action of water.
ACS SUSTAINABLE CHEMISTRY & ENGINEERING
(2023)
Review
Engineering, Chemical
Ruan de Rezende Faria, Bruno Didier Olivier Capron, Mauricio B. de Souza, Argimiro Resende Secchi
Summary: This paper provides a review of real-time optimization from the perspective of reinforcement learning. It discusses the hierarchical structure of control and optimization systems, including real-time optimization, supervisory control, and regulatory control. The paper reviews literature on each layer and proposes a benchmark study on reinforcement learning using a one-layer approach. The study applies the multi-agent deep deterministic policy gradient algorithm to perform economic optimization and control of the isothermal Van de Vusse reactor, demonstrating the effectiveness of cooperative control agents against a hybrid real-time optimization approach.
Article
Engineering, Chemical
Felipo D. Rojas Soares, Caio F. C. Marcellos, Julia N. P. Nogueira, Daniel P. B. de Abreu, Leda R. R. Castilho, Mauricio B. de Souza junior, Argimiro R. R. Secchi
Summary: The COVID-19 pandemic continues to impact the world, despite vaccine efforts, due to new variants and potential immune escape. Mass testing is crucial for monitoring infections and evaluating restriction policies, requiring low-cost and user-friendly tests. This study proposes a cost-effective ELISA test using a scanner and image saturation as a surrogate for absorbance. The new methodology demonstrates high correlation and comparable accuracy, sensitivity, and specificity to the original method.
Article
Computer Science, Interdisciplinary Applications
Alice Peccini, Lucas F. S. Jesus, Argimiro R. Secchi, Miguel J. Bagajewicz, Andre L. H. Costa
Summary: In this article, an alternative method is proposed for the optimal design of one-feed-two-products distillation columns. The method utilizes Set Trimming followed by candidate enumeration to evaluate each candidate solution. Three different enumeration procedures are tested and compared with MINLP approach. The numerical results show that the proposed method can find the global optimum faster than global solvers of mathematical optimization.
COMPUTERS & CHEMICAL ENGINEERING
(2023)
Article
Engineering, Chemical
Marcellus Guedes Fernandes de Moraes, Fernando Arrais Romero Dias Lima, Paulo Laranjeira da Cunha Lage, Mauriicio B. de Souza Jr, Amaro Gomes Barreto Jr, Argimiro Resende Secchi
Summary: Representative mathematical modeling is crucial for understanding batch cooling crystallization processes. This study presents the modeling of batch cooling crystallization based on online dynamic image analysis and population balance modeling. The developed models were validated using experimental data and were also employed as a digital twin for the crystallization process to develop a machine learning-based control algorithm.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2023)
Article
Engineering, Chemical
Fernando Arrais Romero Dias Lima, Ruan de Rezende Faria, Rodrigo Curvelo, Matheus Calheiros Fernandes Cadorini, Cesar Augusto Garcia Echeverry, Mauricio Bezerra de Souza Jr, Argimiro Resende Secchi
Summary: In this study, nonlinear model predictive control (NMPC) approaches were developed and compared using three numerical methods. It was found that NMPC based on orthogonal collocation (OC) had lower computational cost. Estimators including extended Kalman filter (EKF), constrained extended Kalman filter (CEKF), and moving horizon estimator (MHE) were also developed and compared, with CEKF identified as the best option. Finally, the performance of nine combinations of estimators and control approaches was compared and CEKF with OC showed the best performance. This study can assist in selecting numerical methods and estimators for controlling chemical processes.
Article
Engineering, Chemical
Leandro da Rocha Novaes, Neuman Solange de Resende, Vera Maria Martins Salim, Argimiro Resende Secchi
Summary: The hydrotreating process is crucial for meeting demands and complying with environmental restrictions. Deep understanding of the process is necessary for controlling, monitoring, and evaluating conditions and parameters. Through experimental data and rigorous methods, the efficiency of commercial catalysts can be accurately evaluated, and their behavior under different conditions can be studied. The use of differential equations and phenomenological models can better describe deactivation data.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2023)
Article
Engineering, Multidisciplinary
A. A. Aganin, A. I. Davletshin
Summary: A mathematical model of interaction of weakly non-spherical gas bubbles in liquid is proposed in this paper. The model equations are more accurate and compact compared to existing analogs. Five problems are considered for validation, and the results show good agreement with experimental data and numerical solutions. The model is also used to analyze the behavior of bubbles in different clusters, providing meaningful insights.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Hao Wu, Jie Sun, Wen Peng, Lei Jin, Dianhua Zhang
Summary: This study establishes an analytical model for the coupling of temperature, deformation, and residual stress to explore the mechanism of residual stress formation in hot-rolled strip and how to control it. The accuracy of the model is verified by comparing it with a finite element model, and a method to calculate the critical exit crown ratio to maintain strip flatness is proposed.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Shengwen Tu, Naoki Morita, Tsutomu Fukui, Kazuki Shibanuma
Summary: This study aimed to extend the finite element method to cope with elastic-plastic problems by introducing the s-version FEM. The s-version FEM, which overlays a set of local mesh with fine element size on the conventional FE mesh, simplifies domain discretisation and provides accurate numerical predictions. Previous applications of the s-version FEM were limited to elastic problems, lacking instructions for stress update in plasticity. This study presents detailed instructions and formulations for addressing plasticity problems with the s-version FEM and analyzes a stress concentration problem with linear/nonlinear material properties.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Bo Fan, Zhongmin Wang
Summary: A 3D rotating hyperelastic composite REF model was proposed to analyze the influence of tread structure and rotating angular speed on the vibration characteristics of radial tire. Nonlinear dynamic differential equations and modal equations were established to study the effects of internal pressure, tread pressure sharing ratio, belt structure, and rotating angular speed on the vibration characteristics.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
X. W. Chen, Z. Q. Yue, Wendal Victor Yue
Summary: This paper examines the axisymmetric problem of a flat mixed-mode annular crack near and parallel to an arbitrarily graded interface in functionally graded materials (FGMs). The crack is modeled as plane circular dislocation loop and an efficient solution for dislocation in FGMs is used to calculate the stress field at the crack plane. The analytical solutions of the stress intensity factors are obtained and numerical study is conducted to investigate the fracture mechanics of annular crack in FGMs.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Xumin Guo, Jianfei Gu, Hui Li, Kaihua Sun, Xin Wang, Bingjie Zhang, Rangwei Zhang, Dongwu Gao, Junzhe Lin, Bo Wang, Zhong Luo, Wei Sun, Hui Ma
Summary: In this study, a novel approach combining the transfer matrix method and lumped parameter method is proposed to analyze the vibration response of aero-engine pipelines under base harmonic and random excitations. The characteristics of the pipelines are investigated through simulation and experiments, validating the effectiveness of the proposed method.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Xiangyu Sha, Aizhong Lu, Ning Zhang
Summary: This paper investigates the stress and displacement of a layered soil with a fractional-order viscoelastic model under time-varying loads. The correctness of the solutions is validated using numerical methods and comparison with existing literature. The research findings are of significant importance for exploring soil behavior and its engineering applications under time-varying loads.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Thuy Dong Dang, Thi Kieu My Do, Minh Duc Vu, Ngoc Ly Le, Tho Hung Vu, Hoai Nam Vu
Summary: This paper investigates the nonlinear torsional buckling of corrugated core sandwich toroidal shell segments with functionally graded graphene-reinforced composite (FG-GRC) laminated coatings in temperature change using the Ritz energy method. The results show the significant beneficial effects of FG-GRC laminated coatings and corrugated core on the nonlinear buckling responses of structures.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Zhihao Zhai, Chengbiao Cai, Qinglai Zhang, Shengyang Zhu
Summary: This paper investigates the effect of localized cracks induced by environmental factors on the dynamic performance and service life of ballastless track in high-speed railways. A mathematical approach for forced vibrations of Mindlin plates with a side crack is derived and implemented into a train-track coupled dynamic system. The accuracy of this approach is verified by comparing with simulation and experimental results, and the dynamic behavior of the side crack under different conditions is analyzed.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
James Vidler, Andrei Kotousov, Ching-Tai Ng
Summary: The far-field methodology, developed by J.C. Maxwell, is utilized to estimate the effective third order elastic constants of composite media containing random distribution of spherical particles. The results agree with previous studies and can be applied to homogenization problems in other fields.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Kim Q. Tran, Tien-Dat Hoang, Jaehong Lee, H. Nguyen-Xuan
Summary: This study presents novel frameworks for graphene platelets reinforced functionally graded triply periodic minimal surface (GPLR-FG-TPMS) plates and investigates their performance through static and free vibration analyses. The results show that the mass density framework has potential for comparing different porous cores and provides a low weight and high stiffness-to-weight ratio. Primitive plates exhibit superior performance among thick plates.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Bence Hauck, Andras Szekrenyes
Summary: This study explores several methods for computing the J-integral in laminated composite plate structures with delamination. It introduces two special types of plate finite elements and a numerical algorithm. The study presents compact formulations for calculating the J-integral and applies matrix multiplication to take advantage of plate transition elements. The models and algorithms are applied to case studies and compared with analytical and previously used finite element solutions.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Wu Ce Xing, Jiaxing Wang, Yan Qing Wang
Summary: This paper proposes an effective mathematical model for bolted flange joints to study their vibration characteristics. By modeling the flange and bolted joints, governing equations are derived. Experimental studies confirm that the model can accurately predict the vibration characteristics of multiple-plate structures.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Pingchao Yu, Li Hou, Ke Jiang, Zihan Jiang, Xuanjun Tao
Summary: This paper investigates the imbalance problem in rotating machinery and finds that mass imbalance can induce lateral-torsional coupling vibration. By developing a model and conducting detailed analysis, it is discovered that mass imbalance leads to nonlinear time-varying characteristics and there is no steady-state torsional vibration in small unbalanced rotors. Under largely unbalanced conditions, both resonant and unstable behavior can be observed, and increasing lateral damping can suppress instability and reduce lateral amplitude in the resonance region.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Yong Cao, Ziwen Guo, Yilin Qu
Summary: This paper investigates the mechanically induced electric potential and charge redistribution in a piezoelectric semiconductor cylindrical shell. The results show that doping levels can affect the electric potentials and mechanical displacements, and alter the peak position of the zeroth-order electric potential. The doping level also has an inhibiting effect on the first natural frequency. These findings are crucial for optimizing the design and performance of cylindrical shell-shaped sensors and energy harvesters.
APPLIED MATHEMATICAL MODELLING
(2024)