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An Application in Frequency Assignment Based on Improved Discrete harmony search algorithm

Procedia Engineering 2011年 24卷 247-251页

作者： Fei Shi Xiaoyan Xia Chun Chang Guojun Xu Xizhong Qin Zhenhong Jia College of information science and Engineering Xin jiang University Urumuqi 830046 P.R China Xinjiang Mobile Communication Company Urumqi Xinjiang 830091 P.R China

In cellular mobile communication network, for using the limited available spectrum to meet the increasing demand of customer, it is important to scheme frequency source by applying some optimized algorithm. To the question, an improved discrete harmony algorithm is proposed, particle location update strategies of the particle swarm optimization algorithm is introduced, the probability of harmony memory size and the probability of pitch adjusting rate are adjusted dynamically, which improve the global optimization stability of the search results, enhance the universality and robustness of the algorithm, and improve the convergence rating and the convergence speed. Simulation results show that the improved algorithm applied to solve the problem of frequency assignment has achieved good results.

关键词： harmony search algorithm discrete harmony search frequency assignment dynamic adjustment

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Applications of harmony search algorithms in Engineering

Applications of Harmony Search Algorithms in Engineering

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9th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations (AIAI)

作者： Siddique, Nazmul Adeli, Hojjat Univ Ulster Sch Comp & Intelligent Syst Coleraine BT48 7JL Londonderry North Ireland Ohio State Univ Coll Engn Columbus OH 43210 USA

In a recent article the authors reviewed the principles of harmony search and journal articles on harmony search algorithm (HSA). This article presents a review of applications of HSA including structural design, hydrologic model design, water distribution network design, water pump switching problem, transmission network expansion planning problem, job shop scheduling problem, university timetable and rosterering problem, training neural networks, clustering, combined heat and power economic dispatch problem, economic load dispatch problem, and economic and emission dispatch problem.

关键词： Genetic algorithm harmony search algorithm metaheuristic algorithm optimization

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harmony search algorithm: application to the redundancy optimization problem

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ENGINEERING OPTIMIZATION 2010年第9期42卷 845-861页

作者： Nahas, Nabil Thien-My, Dao ETS Dept Mech Engn Montreal PQ H3C 1K3 Canada

The redundancy optimization problem is a well known NP-hard problem which involves the selection of elements and redundancy levels to maximize system performance, given different system-level constraints. This article presents an efficient algorithm based on the harmony search algorithm (HSA) to solve this optimization problem. The HSA is a new nature-inspired algorithm which mimics the improvization process of music players. Two kinds of problems are considered in testing the proposed algorithm, with the first limited to the binary series-parallel system, where the problem consists of a selection of elements and redundancy levels used to maximize the system reliability given various system-level constraints;the second problem for its part concerns the multi-state series-parallel systems with performance levels ranging from perfect operation to complete failure, and in which identical redundant elements are included in order to achieve a desirable level of availability. Numerical results for test problems from previous research are reported and compared. The results of HSA showed that this algorithm could provide very good solutions when compared to those obtained through other approaches.

关键词： redundancy allocation series-parallel systems harmony search algorithm universal generating function

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harmony search algorithm for transmission network expansion planning

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IET GENERATION TRANSMISSION & DISTRIBUTION 2010年第6期4卷 663-673页

作者： Verma, A. Panigrahi, B. K. Bijwe, P. R. Indian Inst Technol Dept Elect Engn New Delhi 110016 India

Transmission network expansion planning (TNEP) is a very important problem in power systems. It is a mixed integer, non-linear, non-convex optimisation problem, which is very complex and computationally demanding. Various meta-heuristic optimisation techniques have been tried out for this problem. However, scope for even better algorithms still remains. In view of this, a new technique known as harmony search is presented here for TNEP with security constraints. This technique has been reported to be robust and computationally efficient compared to other meta-heuristic algorithms. Results for three sample test systems are obtained and compared with those obtained with genetic algorithm and bacteria-foraging differential evolution algorithm to verify the potential of the proposed algorithm.

关键词： transmission network expansion planning power transmission planning nonconvex optimisation problem harmony search algorithm Power transmission, distribution and supply genetic algorithm mixed integer genetic algorithms Power system planning and layout nonlinear optimisation problem differential evolution algorithm Optimisation techniques

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Application and Design of New Controller Based on Fuzzy PID and FACTS Devices in Multi-machine Power System

Application and Design of New Controller Based on Fuzzy PID ...

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IEEE International Conference on Environment and Electrical Engineering

作者： Mehdi Bagheri Azamat Mukhatov Oveis Abedinia Mohammad Salay Naderi Mehdi Salay Naderi Noradin Ghadimi Electrical and Computer Engineering Department Nazarbayev University Astana Kazakhstan Department of Electric Power Engineering Budapest University of Technology and Economics Budapest Hungary Electrical and Computer Engineering Department Islamic Azad University Iran Iran Grid Secure Operation Research Center Amirkabir University of Technology Tehran Iran Young Researchers and Elite Club Islamic Azad University Ardabil Iran

This paper presents a new strategy includes of fuzzy PID controller and Flexible AC transmission system (FACTS) devices in power system for damping the oscillation. This models improves the stability in multi-machine power system by coupling the fuzzy controller with an intelligent algorithm and equipping the FACTS devices to control voltages and power flows. Also, the thyristor-controlled series capacitor (TCSC) as well as Static VAR Compensator (SVC) effects have been considered in this design. The harmony search algorithm (HSA) is applied in this model for fine tuning of the fuzzy PID parameters through time overriding and stability enhancement of proposed controller. Effectiveness of the proposed approach is applied over standard multi-machine power system through comparison with other techniques. Obtained results demonstrate the validity of proposed strategy.

关键词： FACTS devices Fuzzy PID harmony search algorithm stability multi-machine

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Locating and Sizing of Series FACTS Devices Using Line Outage Sensitivity Factors and harmony search algorithm

Locating and Sizing of Series FACTS Devices Using Line Outag...

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2011 2nd International Conference on Advances in Energy Engineering(ICAEE)

作者： H.Javaheri R.Goldoost-Soloot Department of Electrical Engineering University of Javid

This paper proposes the use of series FACTS devices to relieve congestion and enhance the security in restructured power *** search algorithm as a novel heuristic algorithm is employed for optimal locating and sizing of series FACTS *** order to reduce the solution space and to pinpoint the lines which are more suitable for FACTS device placement line outage sensitivity factors is *** different objective functions are considered in the optimization problem,the first one is the total congestion cost and the other is total generation *** validate the effectiveness of the proposed method and show its efficiency,the simulations are carried out on IEEE14-bus test *** results of the proposed method are compared with those obtained by particle swarm optimization and with those obtained by congestion rent contribution method.

关键词： Congestion management Series FACTS devices line outage sensitivity factors harmony search algorithm

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Parameter sensitivity and inversion analysis of a concrete faced rock-fill dam based on HS-BPNN algorithm

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Science China(Technological Sciences) 2016年第9期59卷 1442-1451页

作者： SUN PengMing[[ BAO TengFei[[ GU ChongShi[[ JIANG Ming WANG Tian[[ SHI ZhongWen[[ College of Water-conservancy and Hydropower Hohai University Nanjing 210098 China State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering Hohai University Nanjing 210098 China National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety Hohai University Nanjing 210098 China Hydrochina Huadong Engineering Corporation Hangzhou 310014 China

Considering the complex nonlinear relationship between the material parameters of a concrete faced rock-fill dam(CFRD) and its displacements, the harmony search(HS) algorithm is used to optimize the back propagation neural network(BPNN), and the HS-BPNN algorithm is formed and applied for the inversion analysis of the parameters of rock-fill materials. The sensitivity of the parameters in the Duncan and Chang's E-B model is analyzed using the orthogonal test design. The case study shows that the parameters φ0, K, Rf, and Kb are sensitive to the deformation of the rock-fill dam and the inversion analysis for these parameters is performed by the HS-BPNN algorithm. Compared with the traditional BPNN, the HS-BPNN algorithm exhibits the advantages of high convergence precision, fast convergence rate, and strong stability.

关键词： parameter sensitivity analysis harmony search algorithm back propagation neural network parameter inversion concrete faced rock-fill dam

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Fault Diagnosis of On-Load Tap-Changer Based on Variational Mode Decomposition and Relevance Vector Machine

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ENERGIES 2017年第7期10卷 946-946页

作者： Liu, Jinxin Wang, Guan Zhao, Tong Zhang, Li Shandong Univ Sch Elect Engn Jinan 250061 Shandong Peoples R China Shandong Prov Key Lab UHV Transmiss Technol & Equ Jinan 250061 Shandong Peoples R China

In order to improve the intelligent diagnosis level of an on-load tap-changer's (OLTC) mechanical condition, a feature extraction method based on variational mode decomposition (VMD) and weight divergence was proposed. The harmony search (HS) algorithm was used to optimize the parameter selection of the relevance vector machine (RVM). Firstly, the OLTC vibration signal was decomposed into a series of finite-bandwidth intrinsic mode function (IMF) by VMD under different working conditions. The weight divergence was extracted to characterize the complexity of the vibration signal. Then, weight divergence was used as training and test samples of the harmony search optimization-relevance vector machine (HS-RVM). The experimental results suggested that the proposed integrated model has high fault diagnosis accuracy. This model can accurately extract the characteristics of the mechanical condition, and provide a reference for the practical OLTC intelligent fault diagnosis.

关键词： on-load tap-changer variational mode decomposition relevance vector machine harmony search algorithm mechanical condition

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MUSIC-MAS: Modeling a harmonic composition system with virtual organizations to assist novice composers

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EXPERT SYSTEMS WITH APPLICATIONS 2016年 57卷 345-355页

作者： Navarro, Maria Manuel Corchado, Juan Demazeau, Yves Univ Salamanca C Espejo S-N Salamanca 37007 Spain Lab Informat Grenoble 110 Ave ChimDomaine Univ St Martin dHres F-38041 Grenoble France

Many music students today experience difficulties in composing melodies without a prior harmonical guide. While harmony can be helpful in creating a melody the generation of harmony is challenging due to the many factors that must be taken into account, such as style, harmonic functions, musical consonance or aesthetics. Although various solutions have been proposed in the past, our study employs a different expert solution based on virtual organizations to make musical harmonies, which can assist novice improvisers and/or composers. The virtual organizations are implemented with Multi-Agent System (MAS) using PANGEA (Platform for Automatic coNstruction of orGanizations of intElligent Agents), a platform to develop different multiagent systems. The main goal is to simulate an expert multiagent system that can compose harmony following specific rules. To do so, the harmony search algorithm is implemented as the main behavior of the composer agent, and adapted to a Belief-Desire-Intention architecture. The application of a VO has not been previously used in the development of this kind of expert system in music. We measured the quality of the music obtained, by minimizing a mathematical function. Additionally, we developed an evaluation test that positively validates the musical results from the perspective of consonance and usefulness of the composers. (C) 2016 Elsevier Ltd. All rights reserved.

关键词： harmony Consonance Tension Multi-agent system Virtual organization harmony search algorithm

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Design and analysis of a novel UWB bandpass filter using 3-D EM simulation-based neural network model with HSA

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TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES 2016年第2期24卷 656-668页

作者： Demirel, Salih Uyanik, Cafer Yildiz Tech Univ Dept Elect & Commun Engn Istanbul Turkey

This paper presents a new systematic analysis and design of the ultrawide-band bandpass filter by using the 3-D electromagnetic simulation-based multilayer perceptron neural network (MLP NN) model of unit elements. This MLP NN model is utilized efficiently as a fast and accurate model within a harmony search algorithm (HSA) procedure to determine the resultant optimum microstrip structure geometry. Moreover, the validity and efficiency of the HSA is manifested by comparing it with those of the standard metaheuristics, which are genetic and particle swarm algorithms. The filter that shows the best performance is designed and realized. Measurements taken from the realized filter demonstrate the success of this approximation over the band range of 3.1 GHz to 10.6 GHz, with a flat group delay performance within that range.

关键词： harmony search algorithm ultrawide-band bandpass filter multilayer perceptron neural network

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