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6th International Conference on e-Engineering and Digital Enterprise Technology

作者： Jiang, F. Li, J. F. Li, F. Y. Shandong Univ Sch Mech Engn Jinan 250061 Peoples R China

ISBN: (纸本)9780878494705

Design for assembly (DFA) has proved its success in manufacturing to face the market challenge. But the assembly process parameters were rarely concerned in the design for assembly. Aimed at this problem, an algorithm for design for automated assembly of circular parts was proposed. This algorithm can help designer to select the optimal process parameters, such as dimension tolerance of mating parts, location precision of assembly device and so on, subject to budgetary constraints. Finally a case is employed to explain the optimal course.

关键词： design for assembly optimization algorithm assembly process parameters

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optimization algorithm for compact slab lasers

Optimization algorithm for compact slab lasers

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Conference on High-Power Lasers and Applications V

作者： Cao, Changqing Zeng, Xiaodong An, Yuying Xidian Univ Sch Tech Phys Xian 710071 Peoples R China

ISBN: (纸本)9780819483737

The pump structure greatly influences the characteristics of a diode side-pumped laser. To achieve high absorption efficiency and a homogeneous pump-beam distribution simultaneously, a systemic algorithm has been established to optimize the pump structure, where multiple reflections occur on the internal wall of the reflector inside the pump chamber. A novel design of an efficient, highly reliable, and good beam quality diode side-pumped solid-state laser is presented. Effort has been done to obtain a highly uniform pumping intensity in the active area, which simultaneously reduces the effects of thermal gradient. In this design a novel lens duct configuration is used. By this way a uniform power distribution and a maximum absorption of pump power is resulted. Numerical analysis also indicates the superiority of the design to other methods such as direct and diffusive pumping techniques.

关键词： optimization algorithm compact slab laser high efficiency

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optimization algorithm of digital watermarking anti-coalition attacks in DWT-domain based on genetic algorithm

Optimization algorithm of digital watermarking anti-coalitio...

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Conference on Medical Imaging, Parallel Processing of Images, and optimization Techniques

作者： Que, Dashun Li, Gang Yue, Peng Wuhan Univ Technol Sch Informat Engn Wuhan 430063 Peoples R China

ISBN: (纸本)9780819469533

An adaptive optimization water-marking algorithm based on Genetic algorithm (GA) and discrete wavelet transform (DWT) is proposed in this paper. The core of this algorithm is the fitness function optimization model for digital watermarking based on GA. The embedding intensity for digital water-marking can be modified adaptively, and the algorithm can effectively ensure the imperceptibility of watermarking while the robustness is ensured. The optimization model research may provide a new idea for anti-coalition attacks of digital watermarking algorithm. The paper has fulfilled many experiments, including the embedding and extracting experiments of watermarking, the influence experiments by the weighting factor, the experiments of embedding same watermarking to the different cover image, the experiments of embedding different watermarking to the same cover image, the comparative analysis experiments between this optimization algorithm and human visual system (HVS) algorithm and etc. The simulation results and the further analysis show the effectiveness and advantage of the new algorithm, which also has versatility and expandability. And meanwhile it has better ability of anti-coalition attacks. Moreover, the robustness and security of watermarking algorithm are improved by scrambling transformation and chaotic encryption while preprocessing the watermarking.

关键词： optimization algorithm GA DWT anti-coalition attacks digital watermarking chaotic encryption

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optimization algorithm for Home Energy Management System Based on Artificial Bee Colony in Smart Grid 5

Optimization Algorithm for Home Energy Management System Bas...

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IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)

作者： Zhang, Yanyu Zeng, Peng Zang, Chuanzhi Chinese Acad Sci Shenyang Inst Automat Key Lab Networked Control Syst Shenyang Peoples R China Henan Univ Sch Comp & Informat Engn Kaifeng Peoples R China Univ Chinese Acad Sci Beijing Peoples R China

ISBN: (纸本)9781479987306

To implement demand response in residential sector and facilitate the integration of renewable resources and plug-in electric vehicles in future smart grid, this paper proposes a framework of home energy management system (HEMS) and a optimization algorithm for it based on improved artificial bee colony. The algorithm schedules the operations of schedulable home appliances according to electricity price, forecasted outdoor temperature and renewable power output, and user preferences to minimize user's electricity cost. The effectiveness of the algorithm is verified by simulations, and the electricity cost can be reduced by 47.76%.

关键词： smart grid demand response home energy management system artificial bee colony optimization algorithm

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optimization algorithm of Manipulator Robot Performances 4

Optimization Algorithm of Manipulator Robot Performances

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4th IEEE Annual International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)

作者： Belaidi, Abderrahmane Belaidi, Hadjira Univ Mhamed Bougara Boumerdes Fac Chem & Hydrocarbons Boumerdes 35000 Algeria UMBB Univ IGEE Signals & Syst Lab Boumerdes 35000 Algeria Adv Technol Dev Ctr CDTA Algiers 16303 Algeria

ISBN: (纸本)9781479936694

One aim of controlling a manipulator robot is to maximize its performances such as accuracy, speed, time etc.. However, limiting the power of actuators causes a limitation of their generalized accelerations and velocities;this is due to the high inertial forces, which create dangerous voltages at the machines elements. This paper propose an algorithm to solve the problem of maximizing the manipulator performances considering that the end-effector position and orientation is characterized by a 6x1 vector i.e., six degrees of freedom;moreover, the need to move the end-effector from the start position to the target with a minimum time, without violating its boundaries. The presented solution is well suited to this context. It is optimal with respect to time constraints, and it allows a direct calculation.

关键词： manipulator robot optimization algorithm speed acceleration minimal time

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An improved self-adaptive membrane computing optimization algorithm and its applications in residue hydrogenating model parameter estimation

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Journal of Central South University 2015年第10期22卷 3909-3915页

作者：芦会彬薄翠梅杨世品 College of Electrical Engineering and Control Science Nanjing Tech University

In order to solve the non-linear and high-dimensional optimization problems more effectively, an improved self-adaptive membrane computing(ISMC) optimization algorithm was proposed. The proposed ISMC algorithm applied improved self-adaptive crossover and mutation formulae that can provide appropriate crossover operator and mutation operator based on different functions of the objects and the number of iterations. The performance of ISMC was tested by the benchmark functions. The simulation results for residue hydrogenating kinetics model parameter estimation show that the proposed method is superior to the traditional intelligent algorithms in terms of convergence accuracy and stability in solving the complex parameter optimization problems.

关键词： optimization algorithm membrane computing benchmark function improved self-adaptive operator

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Coronavirus Mask Protection algorithm:A New Bio-inspired optimization algorithm and Its Applications

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Journal of Bionic Engineering 2023年第4期20卷 1747-1765页

作者： Yongliang Yuan Qianlong Shen Shuo Wang Jianji Ren Donghao Yang Qingkang Yang Junkai Fan Xiaokai Mu School of Mechanical and Power Engineering Henan Polytechnic UniversityJiaozuo454003China School of Mechanical Engineering Dalian University of TechnologyDalian116024China School of Software Henan Polytechnic UniversityJiaozuo454003China

Nowadays,meta-heuristic algorithms are attracting widespread interest in solving high-dimensional nonlinear optimization *** this paper,a COVID-19 prevention-inspired bionic optimization algorithm,named Coronavirus Mask Protection algorithm(CMPA),is proposed based on the virus transmission of *** main inspiration for the CMPA originated from human self-protection behavior against *** CMPA,the process of infection and immunity consists of three phases,including the infection stage,diffusion stage,and immune ***,wearing masks correctly and safe social distancing are two essential factors for humans to protect themselves,which are similar to the exploration and exploitation in optimization *** study simulates the self-protection behavior mathematically and offers an optimization *** performance of the proposed CMPA is evaluated and compared to other state-of-the-art metaheuristic optimizers using benchmark functions,CEC2020 suite problems,and three truss design *** statistical results demonstrate that the CMPA is more competitive among these state-of-the-art ***,the CMPA is performed to identify the parameters of the main girder of a gantry *** show that the mass and deflection of the main girder can be improved by 16.44%and 7.49%,respectively.

关键词： Coronavirus Mask Protection algorithm Bionic algorithm Metaheuristic algorithm optimization algorithm Truss optimization Parameter identification

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An Efficient optimization algorithm to Study the Stochastic Responses of Vehicle-Bridge Coupling Systems

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COMPUTING IN SCIENCE & ENGINEERING 2019年第3期21卷 6-17页

作者： Zhu, Siyu Li, Yongle Togbenou, Koffi Xiang, Tianyu Chengdu Univ Technol Coll Environm & Civil Engn Chengdu Sichuan Peoples R China Southwest Jiaotong Univ Dept Bridge Engn Chengdu Sichuan Peoples R China Xihua Univ Dept Civil & Struct Engn Chengdu Sichuan Peoples R China

An efficient algorithm is proposed for the stochastic responses of vehicle-bridge systems. The pseudo-excitation method is combined with the self-adaptive Gauss integration to handle the stochastic responses of vehicle-bridge systems, for which the statistic characteristics are calculated. The applicability and accuracy of the proposed hybrid numerical method are demonstrated by comparing the results with those from Monte Carlo simulation. In addition, nondimensional time is introduced to evaluate the stochastic responses of vehicles.

关键词： Bridges Structures Gaussian Processes Integral Equations Integration Monte Carlo Methods Time Domain Analysis Vibrations Stochastic Responses Vehicle Bridge Coupling System Pseudoexcitation Method optimization algorithm Self Adaptive Gauss Integration Monte Carlo Simulation Intelligent Vehicles Couplings Vibrations Mathematical Model Stochastic Processes Vehicle Dynamics Monte Carlo Methods Stochastic Responses Vehicle Bridge System Pseudo Excitation Method Self Adaptive Gauss Integration

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Efficient slope reliability analysis using a surrogate-assisted normal search particle swarm optimization algorithm

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JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING 2024年第1期11卷 173-194页

作者： Yuan, Yi-li Hu, Chang-ming Li, Liang Xu, Jian Hou, Xu-hui Xian Univ Sci & Technol Sch Architecture & Civil Engn Xian 710055 Shaanxi Peoples R China Xian Univ Architecture & Technol Coll Civil Engn Xian 710055 Shaanxi Peoples R China Qinghai Univ Sch Civil Engn Xining 810016 Qinghai Peoples R China Qinghai Prov Key Lab Energy Saving Bldg Mat & Engn Xining 810016 Qinghai Peoples R China

Sampling of training data is the most important step in active learning slope reliability analysis, which controls the analysis accuracy. In this study, a novel surrogate-assisted normal search particle swarm optimization (SANSPSO) was proposed to enhance the accuracy and robustness of existing methodologies. In SANSPSO, the sampling process was considered a minimum problem with an objective function defined as the absolute value of the performance function. Initiated with a normal search paradigm and supplemented by three algorithm strategies, this approach seeks to preserve the continuity of the solution while refining the algorithm's efficacy and efficiency. To reduce computation cost, surrogate-assistance was used, in which a surrogate model substitutes the objective function in most iterations. This surrogate model evolves during the iteration process and ultimately replaces the actual performance function within Monte Carlo simulation. Finally, this study presents a comparative study with five state-of-the-art methods across four explicit problems and three engineering cases, where test data suggest that the SANSPSO methodology yields a 20% improvement in accuracy and a 30% rise in stability under different dimensional problems relative to the most efficacious of the alternate methods assessed because of the improved and more consistent prediction of limit state function. These findings substantiate the validity and robustness of the SANSPSO approach. Graphical Abstract

关键词： reliability analysis swarm intelligence limit state function sequential design of experiments probability of failure optimization algorithm

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A hybrid GA-PSO optimization algorithm for conformal antenna array pattern synthesis

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JOURNAL OF ELECTROMAGNETIC WAVES AND APPLICATIONS 2018年第13期32卷 1601-1615页

作者： Liang, Zhipeng Ouyang, Jun Yang, Feng Univ Elect Sci & Technol China Sch Elect Sci & Engn Chengdu Sichuan Peoples R China

This paper introduces a hybrid genetic algorithm and particle swarm optimization algorithm (GA-PSO) dedicated to pattern synthesis of conformal antenna arrays. Taking advantages of both methods, the proposed hybrid GA-PSO optimization algorithm has fast convergence speed and high convergence accuracy when applied to antenna array pattern synthesis. To show the performance of the hybrid optimization algorithm, several typical test functions and optimization examples of a linear array pattern synthesis are illustrated. Finally, a 4x2 cylindrical conformal microstrip antenna array as a practical synthesis example is studied to demonstrate the proposed algorithm. The simulated and measured results have shown the proposed method is effective and reliable for conformal antenna array pattern synthesis.

关键词： optimization algorithm pattern synthesis conformal antenna array

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