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Multi-factor integrated configuration model and three-layer hybrid optimization algorithm framework:turnkey project-oriented rapid manufacturing system configuration

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Advances in Manufacturing 2024年第4期12卷 698-725页

作者： Shu-Lian Xie Feng Xue Wei-Min Zhang Jia-Wei Zhu Zi-Wei Jia School of Mechanical Engineering Tongji UniversityShanghai201804People’s Republic of China

In the context of increasingly prominent product personalization and customization trends,intelligent manufacturing-oriented turnkey projects can provide manufacturers with fast and convenient turnkey services for manufacturing *** key characteristic is the transformation of the traditional design process into a configuration ***,the scope of configuration resources in existing research is limited;the cost and time required for manufacturing system construction are overlooked;and the integration of the system layout configuration is rarely considered,making it difficult to meet the manufacturing system configuration requirements of turnkey *** response,this study establishes a multi-factor integrated rapid configuration model and proposes a solution method for manufacturing systems based on the requirements of turnkey *** configuration model considers the system construction cost and duration and the product manufacturing cost and duration,as optimization *** differences in product feature-dividing schemes and configuration of processes,equipment,tools,fixtures,and layouts were considered *** proposed model-solving method is a three-layer hybrid optimization algorithm framework with two optimization algorithm modules and an intermediate algorithm *** hybrid configuration algorithms are established based on non-dominated sorting genetic algorithm-Ⅲ(NSGAⅢ),non-dominated sorting genetic algorithm-Ⅱ(NSGAⅡ),multi-objective simulated annealing(MOSA),multi-objective neighborhood search(MONS),and tabu search(TS).These algorithms are compared and validated through a hydraulic valve block production case,and the TS and NSGAⅢ(TS-NSGAⅢ)hybrid algorithm exhibits the best *** case demonstrates the effectiveness of the proposed model and solution method.

关键词： Manufacturing systems Configuration Turnkey projects hybrid optimization algorithm Multi-objective optimization

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Damage detection of civil structures based on hybrid optimization algorithm and combined correlation function of heterogeneous responses

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MEASUREMENT 2025年 246卷

作者： Zhang, Guangcai Wan, Chunfeng Yang, Zhiyuan Xie, Liyu Xue, Songtao Southeast Univ Minist Educ Key Lab Concrete & Prestressed Concrete Struct Nanjing Peoples R China Tongji Univ Dept Disaster Mitigat Struct Shanghai 200092 Peoples R China Tohoku Inst Technol Dept Architecture Sendai Japan

Accurate and robust damage detection of civil structures subjected to ambient excitations is crucial for ensuring safety and maintaining structural integrity. Heuristic algorithms and traditional reference point-defined correlation function methods have been employed in recent years. However, most single-method optimization strategies suffer from drawbacks such as slow convergence for global search optimizers and strong reliance on the initial guess for local search optimizers. Additionally, selecting the optimal reference point a priori is difficult, and identification accuracy would be severely compromised if the selected reference point exhibits poor response sensitivity to damage. To overcome these limitations, this paper proposes a novel output-only damage detection method for civil structures based on the hybrid optimization algorithm and combined correlation function of heterogeneous responses. The hybrid optimization algorithm integrates the local search operator of the BroydenFletcher-Goldfarb-Shanno (BFGS) algorithm into the global search optimizer of the hybrid Jaya and differential evolution algorithm (HJDEA), leveraging their comprehensive exploration and good convergence capacities. A new objective function is formulated based on the combined correlation function among acceleration and strain, eliminating the need for a reference point. To demonstrate the effectiveness of the proposed method, numerical studies on the Guangzhou new TV tower and a complex three-dimensional space truss structure are conducted. Furthermore, the effect of noise level, sampling frequency, sampling duration, and number of data points are investigated. The results show that the proposed method based on HJDEA-BFGS algorithm and combined correlation function with heterogeneous responses can achieve less than 0.4% mean error for varying damage scenarios and maintains robustness under noise levels up to 20%, demonstrating its reliability for real-world applications.

关键词： Broyden-Fletcher-Goldfarb-Shanno Combined correlation function Damage detection Heterogeneous responses hybrid optimization algorithm Output-only method

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A Combined Calibration Method for Workpiece Positioning in Robotic Machining Systems and a hybrid optimization algorithm for Improving Tool Center Point Calibration Accuracy

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APPLIED SCIENCES-BASEL 2025年第3期15卷 1033-1033页

作者： Hao, Daxian Zhang, Gang Zhao, Huan Ding, Han Huazhong Univ Sci & Technol State Key Lab Intelligent Mfg Equipment & Technol Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Wuxi Res Inst Wuxi 214174 Peoples R China

This paper addresses the machining requirements for large aerospace structural components using robotic systems and proposes a method for rapid workpiece positioning that combines the simplicity of vision-based positioning with the precision of contact-based methods. To enhance the accuracy of robot calibration, a novel approach utilizing a ruby probe for sphere-to-sphere contact calibration of the Tool Center Point (TCP) is introduced. A robot contact calibration model is formulated, transforming the calibration process into a nonlinear least squares (NLS) optimization problem. To tackle the challenges of NLS optimization, a hybrid LM-D algorithm is developed, integrating the Levenberg-Marquardt (L-M) and DIviding RECTangle (DIRECT) algorithms in an iterative process to achieve the global optimum. This algorithm ensures computational efficiency while maximizing the likelihood of finding a globally optimal solution. An iterative convergence termination criterion for TCP calibration is established to determine global convergence, further enhancing the algorithm's efficiency. Experimental validation was performed on industrial robots, demonstrating the proposed algorithm's superior performance in global convergence and iteration efficiency compared to traditional methods. This research provides an effective and practical solution for TCP calibration in industrial robotic applications.

关键词： robotic machining hybrid optimization algorithm sphere-to-sphere TCP calibration combined calibration

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Optimizing die profiles using a hybrid optimization algorithm for the precise control of extrudate swell in polymer solutions

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JOURNAL OF NON-NEWTONIAN FLUID MECHANICS 2024年 330卷

作者： Maddah, Alireza Jafari, Azadeh Univ Tehran Coll Engn Sch Mech Engn POB 11155-4563 Tehran Iran

In recent years, many researchers have focused on improving the die design process for polymer extrusion. This study proposes the development of an efficient and robust numerical approach to improve the die-designing process of polymer melts using the Giesekus model. The proposed technique uses a hybrid optimization algorithm to systematically minimize an objective function to achieve the desired extrudate shape. First, we examine the proposed objective function for the 2D axisymmetric test case using the Golden Section optimization algorithm to obtain a circular extrudate of high-density polyethylene (HDPE) with the desired radius at moderate Weissenberg numbers from 1 to 3.75. To provide more insights into the viscoelastic nature of the problem, the optimization was repeated for a viscoelastic fluid with a higher viscosity ratio and a lower mobility factor at very high Weissenberg numbers, specifically 45, 60, 75, and 90. The proposed approach performs quite well across a broad range of Weissenberg numbers. Subsequently, a hybrid optimization algorithm that combines Nelder-Mead and Bayesian optimization algorithms is employed to achieve the desired extrudate shape for various extrudate profiles in 3D cases, including rectangular and square cross -sections, at a Weissenberg number of one. To gain additional insights into the viscoelastic nature of the problem, optimization was conducted for the rectangular extrudate with a 2:1 aspect ratio at higher Weissenberg numbers, i.e. Weissenberg number from 1 to 2.6. The results of the three-dimensional case studies indicate that both the Nelder-Mead and Bayesian optimization algorithms are efficient and robust, converging relatively quickly in all cases studied. The Nelder-Mead algorithm appears to be more robust, exhibiting fewer oscillations when reaching the optimum point. On the other hand, the Bayesian optimization algorithm can reach the global optimum point at a computational cost comparable to Nelder-Mead, while ac

关键词： Extrudate swell hybrid optimization algorithm Viscoelastic fluid flows Inverse problem

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hybrid optimization algorithm based on chaos game and differential evolution for constrained optimization of structures

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ENGINEERING optimization 2024年

作者： Zarbilinezhad, Milad Gholizad, Amin Univ Mohaghegh Ardabili Dept Civil Engn Ardebil Iran

A novel hybrid optimization algorithm, chaos game optimization-differential evolution (CGO-DE), is developed in this study for the size optimization of structures. The key contribution lies in the synergistic combination of chaos game optimization (CGO) and differential evolution (DE), using their respective strengths in exploration and exploitation to effectively identify global optima. The innovative approach independently applies CGO and DE to subpopulations, preventing premature convergence and enhancing overall performance while ensuring accuracy, accounting for design factors and respecting constraints. Comprehensive numerical evaluations on established structural benchmarks (three-bar truss, welded beam and cantilever beam) and large-scale structures (272-bar and 942-bar truss tower) demonstrate the versatility and efficiency of CGO-DE in solving complex optimization problems across various engineering applications. The results underscore the ability of the algorithm to achieve optimal solutions and improve designs compared to other optimization techniques, highlighting its potential as a powerful tool for engineering optimization.

关键词： hybrid optimization algorithm constrained engineering problems differential evolution (DE) chaos game optimization (CGO) global optima

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Development of hybrid optimization algorithm for structures furnished with seismic damper devices using the particle swarm optimization method and gravitational search algorithm

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Earthquake Engineering and Engineering Vibration 2022年第2期21卷 455-474页

作者： Najad Ayyash Farzad Hejazi Civil Engineering University Putra MalaysiaSeri Kembangan 43300Malaysia

Previous studies about optimizing earthquake structural energy dissipation systems indicated that most existing techniques employ merely one or a few parameters as design variables in the optimization process,and thereby are only applicable only to simple,single,or multiple degree-of-freedom *** current approaches to optimization procedures take a specific damper with its properties and observe the effect of applying time history data to the building;however,there are many different dampers and isolators that can be ***,there is a lack of studies regarding the optimum location for various viscous and wall *** main aim of this study is hybridization of the particle swarm optimization(PSO) and gravitational search algorithm(GSA) to optimize the performance of earthquake energy dissipation systems(i.e.,damper devices) simultaneously with optimizing the characteristics of the *** types of structural dampers device are considered in this study:(ⅰ) variable stiffness bracing(VSB) system,(ⅱ) rubber wall damper(RWD),(ⅲ) nonlinear conical spring bracing(NCSB) device,(iv) and multi-action stiffener(MAS) *** many parameters may affect the design of seismic resistant structures,this study proposes a hybrid of PSO and GSA to develop a hybrid,multi-objective optimization method to resolve the aforementioned *** characteristics of the above-mentioned damper devices as well as the section size for structural beams and columns are considered as variables for development of the PSO-GSA optimization algorithm to minimize structural seismic response in terms of nodal displacement(in three directions) as well as plastic hinge formation in structural members simultaneously with the weight of the *** that,the optimization algorithm is implemented to identify the best position of the damper device in the structural frame to have the maximum effect and minimize the seismic structure *** examine the performance

关键词： hybrid optimization algorithm structures earthquake seismic damper devices particle swarm optimization method gravitational search algorithm

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Economical planning of fuel cell vehicle-to-grid integrated green buildings with a new hybrid optimization algorithm

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INTERNATIONAL JOURNAL OF HYDROGEN ENERGY 2022年第13期47卷 8514-8531页

作者： Li, Hao Sun, Bo Hao, Jianjun Zhao, Jianguo Li, Jianchang Khakichi, Aroos Hebei Agr Univ Coll Mech & Elect Engn Baoding 071001 Hebei Peoples R China Arian Co Elect Engn Dept Yerevan Armenia

Popularity of fuel cell electric vehicles (FCVs) is an important criterion for solving the global problem of reducing CO2 emissions. However, the overall cost of FCVs and hydrogen fuel production is relatively high, so FCV promotion is slow. Considering that FCVs have near-zero CO2 emissions and high endurance, which is suitable for vehicle-to-grid (V2G) systems, this study aims to analyze the economic potential of the fuel cell vehicle-to-grid (FCV2G) systems to promote FCVs to the highest level. For this purpose, a large-scale green building was first selected as the research target and an agent to provide V2G services for the power grid. Then, Monte Carlo method was used to simulate the vehicle visiting time. A discharge model was also developed. Considering CO2 emission price and self-elasticity coefficient of discharge price, an overall economic optimization model was presented. Then, the hybrid algorithm of competitive swarm optimization (CSO) and imperialist competitive algorithm (ICA) was applied to optimize the model, which not only led to definite results and reduced standard deviation, but also eliminated the weakness of the CSO, i.e., convergence speed and poor performance in some benchmark functions. The simulation results indicated the proposed algorithm had faster convergence and more accuracy in finding the optimal solution than other optimization algorithms. Moreover, the overall economic profit improved in the presence of FCVs. Finally, sensitivity analysis was performed on six parameters, including daily electricity price, battery cost, fuel cell cost, CO2 emission price, power grid carbon emission, and hydrogen cost. The results showed FCV2G system had high development potential as well as great economic profit increasing over time. (C) 2022 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.

关键词： Economic potential analysis Fuel cell hybrid optimization algorithm Electric vehicles (EVs)

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Automatic ECG analysis system with hybrid optimization algorithm based feature selection and classifier

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JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2022年第1期43卷 627-642页

作者： Kaliappan, Manikandan Govindan, Sumithra Manimegalai Kuppusamy, Mohana Sundaram Sona Coll Technol Dept Biomed Engn Salem Tamil Nadu India Dr NGP Inst Technol Dept ECE Coimbatore Tamil Nadu India KPR Inst Engn & Technol Dept EEE Coimbatore Tamil Nadu India

Cardio vascular disease threatens human life with higher mortality rate. Therefore it is quite important to monitor. An arrhythmia is an abnormal heart beat and rhythm which causes the disease. The best tool to find the heart rhythm of heart is Electro Cardiogram (ECG) which provides information about the different types of arrhythmias. This paper aims at proposing an automatic framework by employing multi-domain features to classify ECG signals. Proposed work uses optimum method of feature selection to improvise the efficiency of the classification process. A hybrid optimization algorithm is used for feature selection and proposed to optimize the parameters of the existing Support Vector Machine (SVM) classifier. Proposed hybrid optimization algorithm was developed using Particle Swarm optimization (PSO) and Migration Modified Biogeography Based optimization (MMBBO) algorithm. algorithm provides an improved solution to the optimizing the parameters of ECG signals. Results are evaluated by implementing in MATLAB software and the performance is justified with comparative analysis. The proposed framework enhances the process of automatic prediction of various arrhythmias or rhythm abnormalities which performs in gaining better accuracy. For data sets, the average classification accuracy of this method is 97.89%. This result is an improvement of 4-5% over the comparison of other methods.

关键词： Heart disease arrhythmia feature selection hybrid optimization algorithm classification particle swarm optimization

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A soft computing based novel hybrid optimization algorithm H3PGAB3C and its application to routing in WMNs

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International Journal of Information Technology (Singapore) 2022年第5期14卷 2595-2602页

作者： Aneja, Rattan Deep Bindal, Amit Kumar Kumar, Shakti Department of CSE Maharishi Markandeshwar (Deemed to be University) Haryana Mullana India AICTE IDEA LAB Panipat Institute of Engineering and Technology Haryana Samalkha India

This paper proposes a novel hybridized optimization algorithm namely H3PGAB3C. This algorithm is a combination of the three-parent genetic algorithm (3PGA) and big-bang big-crunch (B3C) algorithm. 3PGA is used for global search whereas B3C performs local search for optimal solution. This hybrid algorithm is applied to find the optimal route in wireless mesh networks (WMNs). Performance of H3PGAB3C is compared with other 10 algorithms for different architectural scenarios of large-sized WMNs varying from 5000 to 10,000 node client WMNs. integrated link cost (ILC) measure is taken into consideration for performance comparison. ILC is evaluated by a fuzzy system consisting of three parameters;end-to-end delay, jitter and throughput. It has been observed that the proposed algorithm H3PGAB3C proved its superiority over all other 10 algorithms. © 2022, The Author(s), under exclusive licence to Bharati Vidyapeeth's Institute of Computer Applications and Management.

关键词： 3PGA B3C H3PGAB3C hybrid optimization algorithm Soft computing WMN routing

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Dual secure robust watermarking scheme based on hybrid optimization algorithm for image security

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PERSONAL AND UBIQUITOUS COMPUTING 2021年第1期28卷 193-205页

作者： Alam, Shahzad Ahmad, Tanvir Doja, M. N. Pal, Om Jamia Millia Islamia Dept Comp Engn Fac Engn & Technol New Delhi 110025 India Govt India Minist Elect & Informat Technol New Delhi India

Digital watermarking is a technology that allows users to add copyright notifications or other confirmation messages to digital media. Image recognition is one of the applications of digital watermarking, which is used to identify digital images. The goal is not to prevent theft or theft of content but to provide a means of identifying the images and ensuring the integrity of the image. This paper proposes a dual security robust watermarking (DSRW) method based on a hybrid optimization algorithm for image protection in the DWT domain used in the IoT perceptive layer. First, we introduce the redistributed differential wavelet transform (RI-DWT) to induce the LH and HL subbands. Second, we proposed the advanced cat swarm optimization (ICSO) algorithm to find the best module for watermark inclusion. After the best batch selection, the inclusion procedure adds the binary score to the selected first-level approximate subband of the RI-DWT for each selected module. Optimal QR decomposition is used to estimate a single value in the image matrix. The main objective of the proposed watermarking plan is to ensure high robustness and security. The simulation results examine the significance of the proposed scheme and the validity of the proposed methods. The experiments are conducted to check various common image processing attacks, and the watermark extraction process generates high-quality image after different attacks.

关键词： Image authentication Watermarking Image security Subbands hybrid optimization algorithm

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