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Vibration-based damage detection in anisotropic laminated composite beams by a shear-deformable finite element and harmony search optimization

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STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION 2022年第6期65卷 181-181页

作者： Kahya, Volkan Simsek, Sebahat Togan, Vedat Karadeniz Tech Univ Fac Engn Dept Civil Engn TR-61080 Trabzon Turkey

A numerical procedure to detect and quantify damages in laminated composite beams with arbitrary lay-up using limited vibration data and harmony search optimization is presented. Since any damage in a structure changes its vibration characteristics, they can be considered as the diagnostic parameters with the help of an optimization technique. For the present study, frequencies and mode shapes are used as the damage diagnostic parameters, and the harmony search algorithm is used as the optimization tool. For finite element analyses, a five-node, thirteen-degree-of-freedom shear-deformable beam element is employed. This element can take into account the elastic couplings among extension, bending, and torsion arising due to material anisotropy existing in generally laminated composites as well as the Poisson's effect. The damage to the beam is introduced by a stiffness loss coefficient at the elemental level while mass is assumed to be unchanged. Two different objective functions to be minimized are considered for damage detection. The efficacy of the proposed method with and without the presence of noise is demonstrated by two numerically simulated composite beams including single and multiple damages. Although its accuracy somewhat decreases in case of multiple minor damages, the proposed method is successful to detect moderate and severe single and multiple damages in practice. To overcome this weakness, (i) the algorithm can be hybridized with other metaheuristics, (ii) objective function can be enhanced by combining it with other vibration characteristics such as curvature, flexibility, and so on, or (iii) two- or multi-stage damage identification methods can be considered.

关键词： Vibration-based damage detection Laminated composite beam Finite element method harmony search algorithm Limited vibration data

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Optimization of plate-fin heat exchangers by an improved harmony search algorithm

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APPLIED THERMAL ENGINEERING 2013年第1期50卷 877-885页

作者： Yousefi, Moslem Enayatifar, Rasul Darus, Amer Nordin Abdullah, Abdul Hanan Univ Teknol Malaysia Fac Mech Engn Dept Thermofluids Skudai 81310 Johor Malaysia Univ Teknol Malaysia Fac Comp Sci Skudai 81310 Johor Malaysia

This study explores the use of a proposed variant of harmony search algorithm for design optimization of plate-fin heat exchangers. The algorithm deals with a large number of continuous and discrete variables. To handle the constraints in the optimization problem, a self-adaptive penalty function scheme is used. The efficiency and accuracy of the proposed method are demonstrated through an illustrative example taken from previous studies. Numerical results indicate that the presented approach can generate optimum solutions with higher accuracy when compared to Genetic algorithms (GAS), Particle Swarm Optimization (PSO) and GA hybrids with PSO (GAHPSO). (C) 2012 Elsevier Ltd. All rights reserved.

关键词： Plate-fin heat exchanger Evolutionary computation harmony search algorithm Constraint handling

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Holistic Parameter Optimization for Software Defect Prediction

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IEEE ACCESS 2022年 10卷 106781-106797页

作者： Lee, Jaewook Choi, Jiwon Ryu, Duksan Kim, Suntae Jeonbuk Natl Univ Dept Software Engn Jeonju Si 54896 South Korea

A software defect prediction (SDP) model identifies the defect-prone modules. Setting appropriate parameters in an SDP model is critical because it affects the model performance. In a recent study, parameters were automatically explored using an optimization algorithm. However, such studies did not explore all the parameters that could be handled in the SDP process from preprocessing to model building, but only optimized parameters in some modeling process steps, such as feature selection or model building. Our goal is to improve the model performance by optimizing parameters across the entire SDP process. For this, we propose a cost-sensitive decision tree based on harmony search (HS-CSDT). HS-CSDT uses a harmony search algorithm to simultaneously identify the optimal feature set, regularization technique, class weight, and decision tree hyperparameters. We compared HS-CSDT against the methods in related studies in terms of probability of detection, probability of false alarm, G-measure, and file inspection reduction in the evaluation of 28 open-source projects. The results of the effect size using Cohen's d reveal that HS-CSDT provides a statistically better performance than methods in related work. Experimental results show that optimizing the identified parameters throughout the entire SDP modeling process by using the optimization algorithm helps improve the model performance. In summary, HS-CSDT shows excellent defect prediction performance by automatically allocating an appropriate parameter set according to the software project. Thus, the model can help effectively allocate limited quality assurance resources.

关键词： Software quality Predictive models Feature extraction Prediction algorithms Object oriented modeling Impurities Decision trees Metaheuristics Machine learning Meta-heuristics harmony search algorithm software defect prediction optimization class imbalance cost-sensitive learning machine learning

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Research on the investment optimization model of power grid project based on Shapley value and harmonic search algorithm 3

Research on the investment optimization model of power grid ...

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3rd International Conference on Energy, Power and Electrical Technology, ICEPET 2024

作者： Li, Jing Xie, Yinghua Wang, Ruoyu Li, Zhipeng Sun, Qingchao Li, Dongwei Shenzhen Power Supply Bureau Co. Ltd. Shenzhen China Electric Power Development Research Institute Co. Ltd CEC Technical & Economic Consulting Center of Power Construction Beijing China

ISBN: (纸本)9798350352658

With the acceleration of the construction of new power system, the intensity of power grid investment continues to climb, and enterprises must explore more reasonable and efficient power grid investment strategies to achieve the optimal benefits. Therefore, from the perspective of economy, society and environmental protection, the investment portfolio strategy for power grid project (PGP) is studied. First, the Shapley value method is applied to share the proportion of each benefit function to present the characteristics of different benefit indicators. Secondly, considering the key constraints such as investment capacity and load demand, the portfolio optimization model of PGPs is designed and solved. Finally, calculation examples are constructed to verify the portfolio strategy. The results show that the proposed method can assist the decision makers to develop the optimal grid investment strategy in the new situation. © 2024 IEEE.

关键词： comprehensive benefit harmony search algorithm power grid portfolio Shapley value

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Improved Particle Swarm Based on Elastic Collision for DNA Coding Optimization Design

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IEEE ACCESS 2022年 10卷 63592-63605页

作者： Zhu, Donglin Huang, Zuwei Xie, Linpeng Zhou, Changjun Zhejiang Normal Univ Coll Math & Comp Sci Jinhua 321017 Zhejiang Peoples R China Jiangxi Univ Sci & Technol Sch Informat Engn Ganzhou 341000 Jiangxi Peoples R China

In DNA computing, the design of DNA coding sequences is an important factor affecting the reliability of DNA computing. In different DNA sequence designs, suitable constraints should be selected and the sequence design should be rationalized according to these constraints. In this paper, an improved particle swarm optimization algorithm based on elastic collision strategy (EC-PSO) is used to optimize the design of DNA sequences by using an adaptation function that satisfies multiple constraints. EC-PSO uses the idea of elastic collision to improve the optimal and worst positions within the population, introduces the flight means of the sparrow search algorithm (SSA) to enhance the search capability of the algorithm and increase the diversity of the population;then introduces the harmony search algorithm to the population is then fine-tuned to improve the quality of the solution. The effectiveness of the algorithm was verified by comparing it with the other six algorithms in eight test functions. Finally, the sequence designed was more reasonable in the DNA optimal design experiment.

关键词： DNA Optimization Encoding Particle swarm optimization Image coding Statistics Sociology DNA computing DNA coding improved particle swarm of elastic collisions sparrow search algorithm harmony search algorithm

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Optimizing Structure and Internal Unit Weights of Echo State Network for an Efficient LMS-Based Online Training

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Operations Research Forum 2023年第1期4卷 10页

作者： Saadat, Javad Farshad, Mohsen Eliasi, Hussein Department of Electrical and Computer Engineering University of Birjand Birjand Iran

Echo state network (ESN) is a special type of recurrent neural networks (RNN) wherein a dynamic reservoir is used in the hidden layer, the weight of internal units of ESN is kept fix during training process, and output weights are the only trainable weights. Therefore, network training in an offline mode can be changed into a linear regression equation which is simply solved, although it is required to use online training of ESN in some applied problems. The least mean square (LMS) algorithm can provide an easy and constant method for online training of ESN;however, the huge eigenvalue spreads of the correlation matrix of internal network states reduce the speed of the algorithm convergence. In this study, harmony search algorithm (HSA) is used to optimally produce the structure and weight of internal network units. It is possible to significantly reduce the eigenvalue spreads of the correlation matrix of network states by means of this algorithm. Thereafter, the LMS algorithm is used for the online training of ESN built with the help of HSA. Already-obtained simulation results show that the eigenvalue spreads of the correlation matrix are reduced millions of times, and the LMS algorithm increases the online training speed of the network several times with an acceptable precision of training. © 2023, The Author(s), under exclusive licence to Springer Nature Switzerland AG.

关键词： Echo state network harmony search algorithm Least mean square algorithm Prediction and chaotic time series

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Optimal Operation of Electric Vehicles and Distributed Generation Resources in Smart Grid Considering Load Management

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Energy Engineering 2022年第6期119卷 2655-2679页

作者： Zheng Wang Shangke Liu Yanli Xiao Ye Wan Bin Bai State Grid Ningxia Electric Power Co. Ltd.Eco-Tech Research InstituteYinchuan750004China

Technology advancement and the global tendency to use renewable energy in distributed generation units in the distribution network have been proposed as sources of energy *** the complexity of their protection,as well as the operation of distributed generation resources in the distribution network,factors such as improving reliability,increasing production capacity of the distribution network,stabilizing the voltage of the distribution network,reducing peak clipping losses,as well as economic and environmental considerations,have expanded the influence of distributed generation(DG)resources in the distribution *** location of DG sources and their capacity are the key factors in the effectiveness of distributed generation in the voltage stability of distribution ***,along with the scattered production sources of electric vehicles with the ability to connect to the network,due to having an energy storage system,they are known as valuable resources that can provide various services to the power *** vehicles can empower the grid or be used as a storage supply source when parked and connected to the *** paper introduces and studies a two-stage planning framework for the concurrent management of many electric vehicles and distributed generation resources with private *** the first stage,the aim is to increase the profit of electric vehicles and distributed generation sources;finally,the purpose is to reduce operating *** proposed scheduling framework is tested on a distribution network connected to bus 5 of the RBTS sample *** distributed generation sources and electric vehicles,we integrate time-consistent load management into the *** to distributed generation sources such as photovoltaic systems and wind turbines and the studied design in the modeling,we use the Taguchi TOAT algorithm to generate and reduce the scenario to ensure the uncertainty in renewable *** software is used t

关键词： Electric vehicle distributed generation sources coordinator uncertainty taguchi algorithm harmony search algorithm load management

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Multi-objective design optimisation of steel framed structures using three different methods

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INTERNATIONAL JOURNAL OF STRUCTURAL INTEGRITY 2022年第1期13卷 92-111页

作者： Alkhadashi, Abdalhakem Mohammad, Fouad Zubayr, Rasheedah Olamide Klalib, Hynda Aoun Balik, Piotr Nottingham Trent Univ Sch Architecture Design & Built Environm Nottingham England Univ Zielona Gora Fac Comp Elect & Control Engn Zielona Gora Poland

Purpose - The optimality objectives are the structure weight and embodied energy as well as calculating the cost and embodied carbon of the resulting optimum options. Three optimality algorithms developed in MATLAB, namely, genetic algorithms (GA), particle swarm optimisation (PSO) and harmony search algorithm (HSA), were used for structural optimisation to compare the effectiveness of the algorithms. Two life-cycle stages were considered, production and construction stages, which include three boundaries: materials, transportation and erection. In the formulation of the optimum design problem, 107 universal steel beams (UKB) and 64 columns (UKC) sections were considered for the discrete design variables. The imposed behavioural constraints in the optimum design process were set according to the provision of Eurocode 3 (EC3). The study aims to find the optimum solution of 2D steel frames whilst considering weight and embodied energy, investigate the performance of the analysis integrated with MATLAB and provide three examples to which all these are applied to. Design/methodology/approach - Undoubtedly, in structural engineering, the best design of any structure aims at the most economical and environmental option, without impairing the functional and its structural integrity. In the paper, multi-objective stochastic search methods are proposed for optimum design of three two-dimensional multi-story frames. Findings - Results showed that the optimised designs obtained by HSA are better than those found by the GA and PSO with an average difference of 16% from GA and PSO, where this difference increases at larger frame structures. It was, therefore, concluded that the integration of the analysis, design and optimisation methods employed in MATLAB can be effective in obtaining prompt optimum results during the decision-making stage. Research limitations/implications - There may be some possible limitations in the study. Due to the time constraints, only three meta-heuri

关键词： Optimisation model Embodied energy Genetic algorithm Particle swarm optimisation harmony search algorithm MATLAB

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Design of buckling restrained steel braces using application programming interface between simulation and discrete optimization

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STRUCTURES 2022年 43卷 752-766页

作者： Tunca, Osman Karamanoglu Mehmetbey Univ Dept Civil Engn TR-70200 Karaman Turkey

In this study, buckling restrained braces (BRBs) are optimized through application programming interface be-tween simulation and discrete optimization. It is aimed to maximize the energy dissipation capacity of BRBs considering the American Institute of Steel Construction (ANSI/AISC 341). Unlike other studies, BRBs modeled in the finite element packaged software are directly linked to optimization algorithms. So, the geometric and material nonlinearities are also considered. harmony search algorithm (HSA), which simulates the improvisa-tion musician performances in finding pleasing harmony, and Black Widow Optimization algorithm (BWOA), which imitates inimitable paring attitude of black widow spiders, are taken as the optimizer tools of this study. They encoded in Microsoft Visual Basic programming language. Initially, the algorithmic performances of the HSA and BWOA are compared and evaluated on two benchmark structural engineering design problems. Af-terward, two different shaped BRBs are modeled in a finite element analysis (FEA) based software, namely ANSYS Workbench. Then, the obtained simulations are integrated with the HS and BWO algorithms throughout the application programming interface without identification of complex objective function and design con-straints in formulations. These are directly calculated by ANSYS Workbench over very simple formulas. So, the attained optimum designs of BRBs are investigated with a new approach. Furthermore, in order to see the su-preme algorithmic performances of the HSA and BWOA, all benchmark and BRB design problems are solved so-called well-established conventional standard Genetic algorithm (sGA). Eventually, the proposed novel design methodology gives opportunity and eases to the designers since it provides convenience in solving complicated problems having nonlinear objective function and design constraints that are tiresome to encode.

关键词： Buckling restrained steel braces Finite element analysis Application programming interface Metaheuristic algorithms Black widow optimization algorithm harmony search algorithm

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Optimized Blade Angle Controller to Enhance Wind Speed Variability Impacts

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ELECTRIC POWER COMPONENTS AND SYSTEMS 2022年第6-7期49卷 612-623页

作者： El-Sharkawy, Mahmoud M. Attia, Mahmoud A. Abdelaziz, Almoataz Y. Ain Shams Univ Fac Engn Dept Elect Power & Machines Cairo Egypt Future Univ Egypt Fac Engn & Technol Cairo Egypt

-This paper discusses the negative impact of wind farm penetration on the grid. This bad impact in this study is caused by wind farms due to wind speed variability. As wind turbines depend on wind speed to capture energy, this wind energy is assumed to be unpredicted due to the stochastic nature of wind. The paper focuses on that problem, wind speed variability, showing the most common solutions to overcome it. The paper presents pitch angle control as one of the most practical techniques experienced to overcome the wind speed variability challenge. Also, it illustrates the PID controller based on both harmony search Optimization and Whale Optimization algorithms. First, the paper compares the effect of applying optimized PID control on blade angles with both HSA and WOA in one season of the year. Then;it studies the most effective algorithm among them and applies it to the rest of the year seasons.

关键词： wind turbine efficiency doubly fed induction generator pitch angle controller harmony search algorithm Whale Optimization algorithm PID

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