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Global Dynamic harmony search algorithm: GDHS

APPLIED MATHEMATICS AND COMPUTATION 2014年 228卷 195-219页

作者： Khalili, Mohammad Kharrat, Riyaz Salahshoor, Karim Sefat, Morteza Haghighat Petr Univ Technol Ahvaz Iran Heriot Watt Univ Edinburgh Midlothian Scotland

This paper presents a new modification of harmony search (HS) algorithm to improve its accuracy and convergence speed and eliminates setting parameters that have to be defined before optimization process and it is difficult to predict fixed values for all kinds of problems. The proposed algorithm is named Global Dynamic harmony search (GDHS). In this modification, all the key parameters are changed to dynamic mode and there is no need to predefine any parameters;also the domain is changed to dynamic mode to help a faster convergence. Two experiments, with large sets of benchmark functions, are executed to compare the proposed algorithms with other ones. In the first experiment, 15 benchmark problems are used to compare the proposed algorithm with other similar algorithms based on the harmony search method and in the second experiment, 47 benchmark problems are used to compare the performance of the GDHS with other algorithms from different families, including: GA, PSO, DE and ABC algorithms. Results showed that the proposed algorithm outperforms the other algorithms, considering the point that the GDHS does not require any predefined parameter. (C) 2013 Elsevier Inc. All rights reserved.

关键词： harmony search algorithm Dynamic harmony search Meta-heuristics Evolutionary algorithms Optimization

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Proposed Strategy for the Application of the Modified harmony search algorithm to Code-Based Selection and Scaling of Ground Motions

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JOURNAL OF COMPUTING IN CIVIL ENGINEERING 2014年第6期28卷 04014019-04014019页

作者： Ye, Kun Chen, Zhijun Zhu, Hongping Huazhong Univ Sci & Technol Sch Civil Engn & Mech Wuhan 430074 Peoples R China

The Chinese code for seismic design of buildings (GB50011-2010) allows the use of sets of ground motions in the seismic design and analysis process. However, the prescriptions for record selection are somewhat vague compared with those specified in the other contemporary seismic codes. Through a detailed comparison between Eurocode-8 and GB50011-2010, some record selection criteria for GB50011-2010 are recommended. On the basis of those proposed criteria, selecting and scaling of recorded ground motions is mathematically formulated as an engineering-constrained optimization problem that minimizes the difference between the design response spectrum and the mean response spectrum of selected and scaled ground motions within a period range of interest. For such a constrained optimization problem, the harmony search (HS) algorithm, which conceptualizes using the musical process of searching for a perfect state of harmony, is modified in this study by incorporating the constraint-handling technique on the basis of the fitness priority-based ranking method. Using magnitude, distance, and site conditions, a total of 704 records are selected from the PEER strong ground motion database to form a search space of ground motions. The modified HS algorithm is then applied to the predefined search space to obtain the ground motions sets compatible with the target design spectrum defined in GB 50011-2010. The numerical results demonstrate that the modified HS-based solution is an efficient method for generating input ground motion sets consistent with the code-based design response spectrum.

关键词： Selection of records Scaling of records Spectral match Priority-based ranking harmony search algorithm

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Adaptive Power System Stabilizer Design Using Optimal Support Vector Machines Based on harmony search algorithm

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ELECTRIC POWER COMPONENTS AND SYSTEMS 2014年第5期42卷 439-452页

作者： Pahasa, Jonglak Ngamroo, Issarachai Univ Phayao Dept Elect Engn Sch Engn Mueng 56000 Phayao Thailand King Mongkuts Inst Technol Ladkrabang Fac Engn Sch Elect Engn Bangkok Thailand

Abstract-This article presents the application of support vector machines to adaptive power system stabilizer design in a multi-machine power system based on the harmony search algorithm. Data from a multi-machine power system are the input features of the support vector machines. Support vector machine parameters and power system features are simultaneously optimized by harmony search based on the k-fold cross-validation technique. The proposed algorithm is trained by the optimal support vector machine parameters and optimal power system features. Power system stabilizer parameters produced by the proposed algorithm can be adapted by various operating conditions when the power system operates either inside or outside the training ranges. Simulation studies in the IEEJ Western Japan ten-machine power system demonstrate that the proposed algorithm is far superior to conventional power system stabilizers with fixed parameters and those designed by a robust coupled vibration model under various operating conditions and severe disturbances.

关键词： power system stabilizer feature selection support vector machines harmony search algorithm

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On the iterative convergence of harmony search algorithm and a proposed modification

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APPLIED MATHEMATICS AND COMPUTATION 2014年 247卷 1064-1095页

作者： Yang, Hai-bin Ou Gao, Li-qun Li, Steven Kong, Xiangyong Zou, De-xuan Northeastern Univ Coll Informat Sci & Engn Shenyang 110004 Peoples R China RMIT Univ Grad Sch Business & Law Melbourne Vic 3000 Australia Jiangsu Normal Univ Sch Elect Engn & Automat Xuzhou 221116 Peoples R China

Inspired by the improvisation process of music players, a population-based meta-heuristic algorithm-harmony search (HS) has been proposed recently. HS is good at exploitation, but it can be poor at exploration, and its convergence performance can also be an issue in some cases. To address these disadvantages, the distance bandwidth (bw) adjusting methods proposed in recent literatures are summarized and the exploration ability of HS improvisation is investigated in this paper. Further, the relationship between improvisation exploration and each parameter under asymmetric interval is derived, and an iterative convergence sufficiency of the iteration equation which consists of variance expectation and mean expectation is proven theoretically. Based on these analyses, a modified harmony search (MHS) algorithm is proposed. Moreover, the effects of the key parameters including HMS, PAR and HMCR on the performance of the MHS algorithm are discussed in depth. Experimental results reveal that the proposed MHS algorithm performs better than HS as well as its state-of-the-art variants and other classic excellent meta-heuristic approaches. (C) 2014 Elsevier Inc. All rights reserved.

关键词： harmony search algorithm Exploitation Bandwidth Exploration ability Iterative convergence

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An improved variant of the conventional harmony search algorithm

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APPLIED MATHEMATICS AND COMPUTATION 2014年 227卷 821-830页

作者： Contreras, Jhonatan Amaya, Ivan Correa, Rodrigo Univ Ind Santander Sch Elect Elect & Telecommun Engn Bucaramanga Colombia

The harmony search algorithm (HS) has been used for optimization in different fields, and despite the relative short time it has been around, it already has many variants. This article presents a new modification of HS, based on variable parameters, which is able to yield better results than previously reported data, and with the additional benefit of not requiring prior knowledge of the maximum number of iterations. In this research, a comparison is made with the original HS algorithm, and with its improved version (i.e. IHS), finding that the proposed variants not only reduce convergence time of the algorithm, but they also increase its precision. Some commonly used benchmark functions were used as a testing scenario, and the performance of the novel approach is evaluated for an objective function in up to 1000D, where it was found to converge appropriately. These findings are important since they indicate that the proposed version could be used for different kinds of optimization problems, thus allowing a broader use of the HS algorithm. (C) 2013 Elsevier Inc. All rights reserved.

关键词： Global optimization harmony search algorithm Metaheuristics Optimization Standard test functions

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Improved harmony search algorithm for transmission expansion planning with adequacy-security considerations in the deregulated power system

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INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 2014年第Sep.期60卷 153-164页

作者： Rastgou, Abdollah Moshtagh, Jamal Univ Kurdistan Dept Elect & Comp Engn Kurdistan Iran

Transmission Expansion Planning (TEP) is one of the major components of the electric power industry. In deregulated power systems, transmission systems provide the required environment for the competition among the power market participants. In this paper a mathematical model and a dynamic transmission expansion methodology is presented using an optimization framework. Investment cost, reliability (both adequacy and security), and congestion cost are considered in this optimization. To overcome the difficulties in solving the non-convex and mixed integer nature of the optimization problems, this paper offers an improved harmony search algorithm (HSA) to solve this problem. HSA was imagined using the musical process of searching for a perfect state of harmony, similar to the optimization process looks for finding a global solution that is determined by an objective function. HSA can be used to optimize a non-convex optimization problem with both continuous and discrete variables. In this paper it is shown that HSA, like other heuristic optimization algorithms, can solve the problem in a better manner compare with other methods such genetic algorithm (GA). The proposed model is applied to the IEEE 24-bus and IEEE 118-bus test systems. The obtained results show the feasibility and capability of the proposed algorithm. A comprehensive analysis of the GA methodology with the proposed method is also presented. (C) 2014 Elsevier Ltd. All rights reserved.

关键词： harmony search algorithm Optimization in power systems N-1 contingency modeling Transmission expansion planning

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Simultaneous Reconfiguration and Capacitor Placement with Harmonic Consideration Using Fuzzy harmony search algorithm

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ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING 2014年第5期39卷 3859-3871页

作者： Esmaeili, S. Dehnavi, H. D. Karimzadeh, F. Shahid Bahonar Univ Kerman Dept Elect Engn Kerman Iran Grad Univ Adv Technol Mahan Kerman Iran

In this paper, network reconfiguration and capacitor placement are modeled in the form of a multi-objective problem. Minimizing the costs of real power losses and shunt capacitor installation, and improving the harmonic condition of network are taken into account as the optimization goals. A fuzzy system is utilized to solve multi-objective problem, and a fuzzy harmony search algorithm is proposed to reach the optimum solution point. The proposed model is implemented on two typical networks: the IEEE 33-bus standard system and an 83-bus distribution system from Taiwan Power Company. The results demonstrate that simultaneous study of shunt capacitor placement and network reconfiguration leads to better results compared to study each one separately. Furthermore, considering harmonic condition of network as a term of multi-objective function provides a suitable criterion for network designer to improve the power quality of network during the reconfiguration and capacitor placement processes.

关键词： Capacitor placement Distribution network Fuzzy theory harmony search algorithm Multi-objective problem Reconfiguration

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Hybrid probabilistic- harmony search algorithm methodology in generation scheduling problem

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JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE 2014年第2期26卷 283-296页

作者： Estahbanati, M. J. Islamic Azad Univ Sci & Res Branch Dept Elect Engn Fars Iran

This paper attempts to propose a fair solution in generation scheduling problem in the presence of inherent uncertainties in short-term power system operation. The proposed methodology incorporates probabilistic methodology in the uncertainties representation section, while harmony search algorithm is adopted as a fast and reliable soft computing algorithm to solve the proposed nonlinear, non-convex, large-scaled and combinatorial problem. As an indispensable step towards a more economical power system operation, the optimal generation scheduling strategy in the presence of mixed hydro-thermal generation mix, deemed to be the most techno-economically efficient scheme, comes to the play and is profoundly taken under concentration in this study. This paper devises a comprehensive hybrid optimisation approach by which all the crucial aspects of great influence in the generation scheduling process can be accounted for. Two-point estimation method is also adopted probabilistically approaching the involved uncertain criteria. In the light of the proposed methodology being implemented on an adopted test system, the anticipated efficiency of the proposed method is well verified.

关键词： generation scheduling probabilistic methodology harmony search algorithm point estimation method

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Frequency-domain identification of a small-scale unmanned helicopter with harmony search algorithm

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INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY 2014年第2期49卷 141-149页

作者： Yang, Jiali Wang, Guanlin Zhu, Jihong Tsinghua Univ Dept Comp Sci & Technol Beijing 100084 Peoples R China

This paper presents a new method to identify the model of a small-scale helicopter in frequency domain using harmony search (HS) algorithm. The dynamics of the small-scale helicopter are simplified to four single-input/single-output (SISO) linear subsystems near the hover point, and the HS optimisation algorithm is used to identify each subsystem's parameters. Time-domain verification is made to check the validity of the identified models. The verification results show that the identified models are accurate and effective enough to describe the dynamics of the helicopter. The identified models show that the dynamics of the roll, pitch and yaw channels are mainly dominated by the lightly damped second-order modes. Identification and verification results show that the application of HS algorithm in system identification is suitable and useful.

关键词： helicopter identification harmony search algorithm frequency-domain identification unmanned helicopter

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Overview of harmony search algorithm and its applications in Civil Engineering

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EVOLUTIONARY INTELLIGENCE 2014年第1期7卷 3-16页

作者： Yoo, Do Guen Kim, Joong Hoon Geem, Zong Woo Korea Univ Res Inst Engn & Technol Seoul 136713 South Korea Korea Univ Sch Civil Environm & Architectural Engn Seoul 136713 South Korea Gachon Univ Dept Energy & Informat Technol Seongnam 461701 South Korea

harmony search (HS), a meta-heuristic algorithm, conceptualizes a musical process of searching for a perfect state of harmony (optimal solution). It allows a random search without initial values and removes the necessity for information of derivatives. Since the HS algorithm was first developed and published in 2001, it has been applied to various research areas and the world wide attention on it has rapidly increased. In this paper, applications of HS algorithm in Civil Engineering (CE) are to be overviewed. Articles in CE areas including water resources, structural, geotechnical, environmental, and traffic engineering are to be reviewed thoroughly. As a results, variety of application results show that HS can be effectively used as a tool for optimization problems in CE.

关键词： harmony search algorithm Literature review Civil Engineering

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