This paper presents a new modification of harmonysearch (HS) algorithm to improve its accuracy and convergence speed and eliminates setting parameters that have to be defined before optimization process and it is dif...
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This paper presents a new modification of harmonysearch (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 harmonysearch (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 harmonysearch 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.
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 c...
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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 harmonysearch (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.
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 pow...
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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 harmonysearch 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.
Inspired by the improvisation process of music players, a population-based meta-heuristic algorithm-harmonysearch (HS) has been proposed recently. HS is good at exploitation, but it can be poor at exploration, and it...
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Inspired by the improvisation process of music players, a population-based meta-heuristic algorithm-harmonysearch (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 harmonysearch (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.
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 H...
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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.
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 po...
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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.
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 harmon...
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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.
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 metho...
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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.
This paper presents a new method to identify the model of a small-scale helicopter in frequency domain using harmonysearch (HS) algorithm. The dynamics of the small-scale helicopter are simplified to four single-inpu...
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This paper presents a new method to identify the model of a small-scale helicopter in frequency domain using harmonysearch (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.
harmonysearch (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 necess...
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harmonysearch (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.
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