Article
Mathematics
Mohammed Qaraad, Abdussalam Aljadania, Mostafa Elhosseini
Summary: This paper proposes a hybrid approach, CL-SSA, which combines the Competitive Swarm Optimizer (CSO) algorithm with the Salp Swarm algorithm (SSA) to address the slow convergence rate and local optimal solution trapping issues. The CL-SSA algorithm divides the solutions into winners and losers through a pairwise competition mechanism, updates the winners using the SSA algorithm, and allows non-winners to learn from the winners. The performance of the CL-SSA algorithm is evaluated on various benchmark functions and compared with other metaheuristics and advanced algorithms, showing improved exploration, exploitation, and convergence patterns.
Article
Engineering, Multidisciplinary
Weiguo Zhao, Liying Wang, Zhenxing Zhang, Seyedali Mirjalili, Nima Khodadadi, Qiang Ge
Summary: An original math-inspired meta-heuristic algorithm, QIO, is proposed for numerical optimization and engineering issues. It utilizes the newly proposed generalized quadratic interpolation (GQI) method as a searching mechanism to explore and exploit optimal solutions, showing promising results in addressing practical challenges.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2023)
Article
Computer Science, Interdisciplinary Applications
Amirhossein Parand, Mahmood Seraji, Hadi Dashti
Summary: The study introduces a new algorithm called modified multi-level cross-entropy optimizer (MMCEO), which combines the multi-level cross-entropy optimizer (MCEO) algorithm with sigmoid functions to smooth the space of problems with discrete variables. Experimental results demonstrate the high accuracy and improved speed of the proposed method in solving problems such as pressure vessels and speed reducers, suggesting its superiority over other algorithms in handling difficult problems with discrete variables.
ENGINEERING WITH COMPUTERS
(2022)
Article
Engineering, Mechanical
H. A. Jensen, D. J. Jerez, M. Beer
Summary: This paper focuses on general structural optimization problems with discrete-continuous design variables, using a Bayesian model updating approach to efficiently handle constraints and sensitivity analysis. Numerical examples demonstrate the effectiveness and potential of the method in reliability-based design optimization under stochastic excitation.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Computer Science, Information Systems
Yongping Liu, Lizhen Huang, Xiufeng Liu, Guomin Ji, Xu Cheng, Erling Onstein
Summary: This study aims to develop an innovative and straightforward algorithm for the Resource-Constrained Project Scheduling Problem (RCPSP) by integrating the 1+1 evolution strategy into a genetic algorithm framework. Unlike most existing studies, the proposed algorithm eliminates the need for parameter tuning and utilizes real-valued numbers and path representation as chromosomes, resulting in no requirement for priority rules to construct a feasible schedule. The algorithm's performance is evaluated using the RCPSP benchmark and compared to alternative algorithms, demonstrating competitiveness but highlighting the challenge of exploration capability for further investigation.
INFORMATION SCIENCES
(2023)
Article
Automation & Control Systems
Harun Gezici, Haydar Livatyali
Summary: The paper introduces an improved Harris Hawks Optimization algorithm that enhances performance through modifications in parameter determination and decision mechanism reduction, outperforming competitors in CEC2019 test functions and 3D bin packing problem, confirming the validity of the proposed algorithm.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
Article
Computer Science, Artificial Intelligence
Raghav Prasad Parouha, Pooja Verma
Summary: This paper introduces an advanced hybrid algorithm haDEPSO to solve optimization problems by integrating the advantages of advanced DE and PSO. The efficiency of the algorithm is verified through various test suites, demonstrating its superiority in terms of accuracy and convergence speed.
ARTIFICIAL INTELLIGENCE REVIEW
(2021)
Article
Engineering, Multidisciplinary
W. Y. Wang, Z. H. Xu, Y. H. Fan, D. D. Pan, P. Lin, X. T. Wang
Summary: This work proposes a novel adaptive global optimization algorithm called Disturbance Inspired Equilibrium Optimizer, which enhances the exploitation ability of Equilibrium Optimizer and solves the issue of getting trapped in local minima. The algorithm introduces a novel disturbance-based hybrid initialization strategy, a new form of time factor, and a new update rule of particle's position, leading to significantly improved exploration and exploitation ability.
APPLIED MATHEMATICAL MODELLING
(2023)
Article
Computer Science, Interdisciplinary Applications
Mehrdad Kaveh, Mohammad Saadi Mesgari, Bahram Saeidian
Summary: This paper introduces the design and implementation of the Orchard Algorithm (OA), which is inspired by fruit gardening. The OA algorithm utilizes various actions such as irrigation, fertilization, trimming, and grafting to achieve optimal tree growth and fruit production. It combines personal and social behavior to explore and exploit the search space efficiently. Comparative analysis with 13 other algorithms demonstrates the superior performance of OA in solving optimization problems.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2023)
Article
Computer Science, Artificial Intelligence
Yiying Zhang, Aining Chi, Seyedali Mirjalili
Summary: Jaya algorithm (JAYA) is a simple and widely used metaheuristic algorithm, but it may suffer from local optima in complex optimization problems. To enhance global search ability, an improved version called enhanced Jaya algorithm (EJAYA) is proposed, which utilizes both local exploitation and global exploration strategies.
KNOWLEDGE-BASED SYSTEMS
(2021)
Article
Mathematics
Eryang Guo, Yuelin Gao, Chenyang Hu, Jiaojiao Zhang
Summary: In this paper, a new hybrid PSO-DE algorithm based on feasibility rules is proposed for constrained optimization problems. The algorithm uses individual feasibility rules to determine the optimal positions in the particle population. PSO is used to update the velocity and position of individuals with higher degree of constraint violation, while DE is applied to update the individual optimal position. The algorithm is evaluated using benchmark functions and engineering optimization problems, showing good accuracy, effectiveness, and robustness.
Article
Computer Science, Interdisciplinary Applications
Satnam Kaur, Lalit K. Awasthi, A. L. Sangal
Summary: The proposed HMOSHSSA algorithm combines the strengths of MOSHO and SSA to effectively explore the search space and achieve faster convergence to the global best solution. Experimental results demonstrate its competitiveness and superiority in terms of convergence speed, search-ability, and accuracy, surpassing other algorithms. This algorithm also shows efficacy in solving real-life multi-objective optimization problems.
ENGINEERING WITH COMPUTERS
(2021)
Article
Computer Science, Artificial Intelligence
Sidong Xian, Xu Feng
Summary: In this paper, a meerkat optimization algorithm (MOA) is proposed by simulating the behavior pattern of meerkats in nature. MOA is mainly inspired by the survival strategies of meerkat populations, and its sentinel mechanism controls meerkats to switch between different behavior patterns. Mathematical properties of meerkat optimization algorithm are proven, and the advantages of MOA are verified with classical optimization test functions. MOA is also applied to solve real-world engineering problems with constraints, demonstrating its effectiveness and superiority.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Engineering, Multidisciplinary
Jeffrey O. Agushaka, Absalom E. Ezugwu, Oyelade N. Olaide, Olatunji Akinola, Raed Abu Zitar, Laith Abualigah
Summary: This paper proposes a modified version of the Dwarf Mongoose Optimization Algorithm (IDMO) for constrained engineering design problems. The IDMO improves the original algorithm by changing alpha selection, scout group movements, and babysitter exchange criteria. Experimental results show that the IDMO outperforms other algorithms in solving optimization problems.
JOURNAL OF BIONIC ENGINEERING
(2023)
Article
Mathematics
Yu Peng, Xianjun Du
Summary: This paper proposes an improved population-based, bio-inspired optimization algorithm based on the pheromone dispersion model, which is suitable for complex engineering design problems. The experimental results demonstrate that the algorithm performs well and efficiently in handling various test functions and real-world engineering design problems.
Article
Acoustics
Yuhao Hu, Yatao Kang, Kaiping Yu, Weidong Zhu, Rui Zhao
Summary: This paper introduces an optimized continuously scanning laser Doppler vibrometer (CSLDV) system for vibration measurement and model updating in thermal environments. The system is able to efficiently and accurately estimate complete vibration shapes and improve the accuracy and predictive capability of the model by selecting specific ODSs.
JOURNAL OF SOUND AND VIBRATION
(2023)
Article
Acoustics
Firooz Bakhtiari-Nejad, Ramin Saffari, Weidong Zhu
Summary: This paper investigates the free vibration of different plates in the polar coordinate system using the Rayleigh-Ritz method and calculating strain and kinetic energies. The shape function of each plate is expressed using trigonometric and hyperbolic terms, satisfying both the boundary conditions and regularity conditions. The presented method is versatile and has no limitations. The results are validated using case studies and compared with the results obtained from ABAQUS CAE.
JOURNAL OF VIBRATION AND CONTROL
(2023)
Article
Acoustics
Yu-Jia Hu, Lei Hu, Weidong Zhu, Haolin Li
Summary: Temperature greatly affects the thermal modal characteristics of a structure, and the uncertainty in its distribution makes these characteristics even more complicated. This uncertainty also leads to significant deviations between predicted and experimental results, and even differences in the trends with temperature. This study investigates the stochastic thermal modal characteristics of a plate with free boundary conditions caused by random heating positions, and proposes a statistical analysis method with a small sample based on an improved Bootstrap method and folded normal distribution. The research is of great significance for reliability evaluation of thermodynamic experimental results and error analysis between experimental and theoretical results.
JOURNAL OF SOUND AND VIBRATION
(2023)
Article
Acoustics
Xiang Zhao, Shiyao Meng, Weidong Zhu, Yilin Zhu, Yinghui Li
Summary: This paper aims to derive a closed-form solution for steady-state forced vibration of a double-curved-beam system (DCBS). The classical Euler-Bernoulli beam model is used to establish the vibration equations of the DCBS. The fundamental solution of the vibration equations is obtained using Green's function and Laplace transform methods, which can be applied to any boundary conditions. The numerical results validate the proposed solution by comparing with previous studies and investigate the effects of geometric and physical parameters on vibration responses and the interaction between the elastic layer stiffness and the DCBS.
JOURNAL OF SOUND AND VIBRATION
(2023)
Article
Engineering, Multidisciplinary
Yuhao Hu, Weidong Zhu, Linfeng Lyu, Zhonggang Li
Summary: This paper explains the phenomenon of bimodal interference in a long-range continuously scanning laser Doppler vibrometer (LCSLDV) system, where the dominant frequency in the spectrum is symmetrically shifted into two sharp peaks. The bimodal interference affects the estimation of natural frequencies in LCSLDV measurements, and this paper analyzes its nature.
Article
Engineering, Multidisciplinary
K. Yuan, W. D. Zhu
Summary: Modal parameters of a model turbine blade with a curved surface excited by white noise are identified using a novel general-purpose 3D continuously scanning laser Doppler vibrometer system. The system calibrates and synchronously moves three laser spots on the curved surface to capture the blade's 3D vibrations. An extended demodulation method is used to estimate its damped natural frequencies and 3D full-field undamped mode shapes. The identified modal parameters are compared with a commercial 3D scanning laser Doppler vibrometer system, showing small differences in the first six damped natural frequencies and highly correlated mode shapes. However, the 3D CSLDV system has higher efficiency in obtaining 3D mode shapes of the blade compared to the 3D SLDV system.
Review
Green & Sustainable Science & Technology
Gang Li, Weidong Zhu
Summary: As a cost-effective alternative to fossil fuels, tidal current energy is abundant, clean, and predictable. However, tidal current energy harvesting technologies are still in early stages of development and face technical barriers and uncertain environmental impacts. This study provides a comprehensive overview of the state-of-the-art of tidal current energy harvesting schemes and life cycle assessment studies of TCECs, identifying key advancements required for successful commercialization and presenting detailed LCA studies to indicate energy consumption and environmental impacts.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2023)
Article
Environmental Sciences
Gang Tang, Hongren Zhao, Christophe Claramunt, Weidong Zhu, Shiming Wang, Yide Wang, Yuehua Ding
Summary: This research proposes a Pyramid Pooling Attention Network (PPA-Net) for SAR multi-scale ship detection. It introduces a Pyramid Pooled Attention Module (PPAM) to alleviate the influence of background noise and an Adaptive Feature Balancing Module (AFBM) to balance the conflict between ship semantic information and location information. The Atrous Spatial Pyramid Pooling (ASPP) module is also introduced to improve the detection capabilities of the ship detection model for multi-scale ships.
Article
Engineering, Aerospace
Kuan Lu, Dong Guo, Weidong Zhu, Yulin Jin, Hui Cheng, Xiaohui Gu, Chao Fu
Summary: This paper discusses the nonlinear dynamic behaviors of dual-rotor-bearing systems with looseness and rub-impact faults. The dual-rotor-bearing system model with looseness and rub-impact coupling faults is established using the finite element method. The component mode synthesis (CMS) and proper orthogonal decomposition (POD) methods are introduced. The efficiency of the order reduction method is verified by comparing the dynamic behaviors of the original and reduced systems. The frequency spectrum and amplitude-frequency behaviors of rotor systems are studied. The results can provide qualitative guidance for structural design optimization of large rotating machines and prior information for looseness and rub-impact coupling faults.
Article
Automation & Control Systems
Daixin Fu, Lingyi Wang, Guanlin Lv, Zhengyu Shen, Hao Zhu, W. D. Zhu
Summary: This paper provides a comprehensive review of dynamic load identification methods based on data-driven techniques. It covers two aspects: load localization and load reconstruction, and discusses various data-driven techniques. Additionally, the paper offers insight into the challenges and prospects of the data-driven techniques for dynamic load identification.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Engineering, Electrical & Electronic
Kai Tang, Bin Zi, Feng Xu, Weidong Zhu, Kai Feng
Summary: This study proposes a coating defect detection method based on data augmentation and network optimization design, which improves the accuracy and robustness of coating defect detection. The method achieves superior results compared to other popular detectors, achieving a processing speed of 61 FPS with 96.7 mAP50 on the coating defect dataset. The method is versatile and applicable to detection tasks in various scenarios.
IEEE SENSORS JOURNAL
(2023)
Article
Acoustics
Guang Zhao, Zexin Zhang, Weidong Zhu, Wei Yuan
Summary: A tenon connection structure is commonly used in turbomachinery for the blade-disk connection, resulting in nonlinear dynamic characteristics due to contact stiffness and damping. These characteristics are difficult to predict accurately and are influenced by factors such as operating speed and centrifugal force caused by rotation.
JOURNAL OF SOUND AND VIBRATION
(2023)
Article
Engineering, Mechanical
L. F. Lyu, G. D. Higgins, W. D. Zhu
Summary: A novel robust edge detection method is developed for image-based tracking CSLDV system to track and scan a rotating structure without encoder or mark attachment. The method extracts edges of the rotating structure from grayscale images and determines their positions, thus enabling real-time rotation speed estimation.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Engineering, Mechanical
D. T. Will, W. D. Zhu
Summary: This work investigates the response of a cantilever plate attached to a cylinder in a wind tunnel under impact excitation. Experimental and finite element analysis (FEA) results are compared for the natural frequencies, mode shapes, and operational deflection shapes (ODSs) of the cantilever plate. The study finds that both experimental techniques yield consistent results, and there are certain mode shapes and ODSs that exhibit high correlation.
EXPERIMENTAL TECHNIQUES
(2023)
Article
Automation & Control Systems
Bin Zhou, Yuhang Wang, Bin Zi, Weidong Zhu
Summary: This paper proposes a fuzzy proportion integration differentiation (PID) control strategy based on an adaptive whale optimization algorithm (FPID-AWOA) for trajectory tracking of a cable-driven parallel robot (CDPR). Numerical examples show that the FPID-AWOA method achieves higher trajectory tracking accuracy compared to traditional methods and other optimization algorithms.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2023)
