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7th International Conference on Computer Science and Information Technology (CSIT)

作者： Abualigah, Laith Mohammad Khader, Ahamad Tajudin Al-Betar, Mohammed Azmi USM Sch Comp Sci George Town 11800 Malaysia Al Huson Univ Coll Dept Informat Technol Irbid Jordan

ISBN: (纸本)9781467389136

The increasing amount of text information on the Internet web pages affects the clustering analysis. The text clustering is a favorable analysis technique used for partitioning a massive amount of information into clusters. Hence, the major problem that affects the text clustering technique is the presence uninformative and sparse features in text documents. The feature selection (FS) is an important unsupervised technique used to eliminate uninformative features to encourage the text clustering technique. Recently, the meta-heuristic algorithms are successfully applied to solve several optimization problems. In this paper, we proposed the harmony search (HS) algorithm to solve the feature selection problem (FSHSTC). The proposed method is used to enhance the text clustering (TC) technique by obtaining a new subset of informative or useful features. Experiments were applied using four benchmark text datasets. The results show that the proposed FSHSTC is improved the performance of the k-mean clustering algorithm measured by F-measure and Accuracy.

关键词： Unsupervised Feature Selection harmony search algorithm K-mean Text Clustering Informative features Sparse features

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An Adaptive harmony search algorithm based on Positive Feedback for Network Reconfiguration

An Adaptive Harmony Search Algorithm based on Positive Feedb...

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IEEE-Power-and-Energy-Society General Meeting (PESGM)

作者： Li, Zhi Han, Yuqi Zhang, Yu Bao, Yingkai Guo, Chuangxin Zhang, Jianmin Zhejiang Univ Coll Elect Engn Hangzhou 310027 Zhejiang Peoples R China Hangzhou Dianzi Univ Coll Elect Engn & Automat Hangzhou 310027 Zhejiang Peoples R China

ISBN: (纸本)9781509041688

Distribution network reconfiguration is a complex and discrete nonlinear combinatory optimization problem. In this paper, an adaptive harmony search algorithm based on positive feedback (PFAHSA) is proposed to solve the problem for reducing power loss in distribution systems. The PFAHSA incorporates a local optimal method based on positive feedback mechanism into traditional harmony improvising criteria for better utilization of harmony memory (HM) and higher convergence speed. The algorithm parameters are updated adaptively by modified entropy, which measures the diversity of HM, to avoid prematurity and improve search success rate. The proposed method is testified on the IEEE 33- and 69-bus systems and is compared with other conventional approaches. Simulation results show that the proposed method features faster optimization speed and better global convergence performance.

关键词： distribution network reconfiguration harmony search algorithm positive feedback mechanism entropy adaptive parameter setting

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harmony search algorithm: A Unique Music-inspired algorithm

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Procedia Engineering 2016年 154卷 1401-1405页

作者： Joong Hoon Kim School of Civil Environmental and Architectural Engineering Korea University Anamdong 5ga 1 Seongbukgu Seoul 136-713 Korea

Since the harmony search algorithm (HSA) was first introduced in 2001, it has drawn a world-wide attention mainly because of its balanced combination of exploration and exploitation and ease of application. The HSA, inspired by musical performance process, consists of three operators: random search, harmony memory considering rule, and pitch adjusting rule. The ways of handling exploration and exploitation with the three operators make the HSA a unique metaheuristic algorithm. However, a series of papers was recently published by an author which insisted that the HSA is equivalent to an evolution strategy (ES). The ES, based on ideas of adaptation and evolution, consists of two operators: recombination and mutation operators. Except the similarity in generating a single new solution at each iteration which can replace the worst solution in the population, other components (e.g., their exploration and exploitation strategies and structure) are totally different between the HSA and ES. This paper is written to rebut and point out academic flaws in the papers.

关键词： harmony search algorithm Evolution strategy Metaheuristic algorithm Rebutal

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Multimachine Power System Stabilizer Tuning using harmony search algorithm 2

Multimachine Power System Stabilizer Tuning using Harmony Se...

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IEEE International Conference on Electrical Power and Energy Systems (ICEPES)

作者： Chitara, Dhanraj Niazi, K. R. Swarnkar, Anil Gupta, Nikhil Malaviya Natl Inst Technol Dept Elect Engn Jaipur Rajasthan India

ISBN: (纸本)9781509024766

In this paper, Harmonic search Optimization (HSO) algorithm is implemented for tuning of multimachine Power System Stabilizer (PSS) to die out local and inter-area mode oscillations to enhance small signal stability. The performance of controller is compared with Particle Swarm Optimization (PSO) technique. A multi-objective eigenvalue based optimization problem involving maximization of damping factor and damping ratio is formulated for designing the PSS parameters. The parameters of the proposed PSS are optimized to transfer the unstable or lightly damped eigenvalues to a D-shape sector in left half of the s-plane. The performance of the proposed stabilizer is evaluated on 10-machine, 39-bus New England power system. The effectiveness of HSO based PSS (HSOPSS) is demonstrated by using the eigenvalue analysis and non-linear simulations. Moreover, the robustness of HSOPSS is evaluated by the performances indices results that assure well damped controller compare to PSO based PSS (PSOPSS) under varying loading conditions, severe line outage and three-phase short circuit faults.

关键词： harmony search algorithm particle swarm optimization low frequency oscillations power system stabilizer small signal stability

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harmony search algorithm based optimum detailed design of reinforced concrete plane frames subject to ACI 318-05 provisions

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COMPUTERS & STRUCTURES 2015年 147卷 79-95页

作者： Akin, A. Saka, M. P. Thomas& Betts Meyer Steel Struct Memphis TN USA Univ Bahrain Dept Civil Engn Isa Town Bahrain

This paper presents the application of the harmony search based algorithm to the optimum detailed design of special seismic moment reinforced concrete (RC) frames under earthquake loads based on American Standard specifications. The objective function is selected as the total cost of the frame which includes the cost of concrete, formwork and reinforcing steel for individual members of the frame. The modular sizes of members, standard reinforcement bar diameters, spacing requirements of reinforcing bars, architectural requirements and other practical requirements in addition to relevant provisions are considered to obtain directly constructible designs without any further modifications. For the RC columns, predetermined section database is constructed and arranged in order of resisting capacity. The produced optimum design satisfies the strength, ductility, serviceability and other constraints related to good design and stated in the relevant specifications. The lateral seismic forces are calculated according to ASCE 7-05 and it is updated in each iteration. Number of design examples is considered to demonstrate the efficiency of the optimum design algorithm proposed. It is concluded that the developed optimum design model can be used in design offices for practical designs and this study is the first application of the harmony search method to the optimization of RC frames and also the optimization of special seismic moment RC frames to date. (C) 2014 Civil-Comp Ltd and Elsevier Ltd. All rights reserved.

关键词： Cost optimization Structural optimum design harmony search algorithm Reinforced concrete structures Heuristics

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harmony search algorithm: a variant with Self-regulated Fretwidth

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APPLIED MATHEMATICS AND COMPUTATION 2015年 266卷 1127-1152页

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

This article presents a novel modification of the harmony search (HS) algorithm that is able to self-tune as the search progress. This adaptive behavior is independent of total iterations. Moreover, it requires less iterations and provides more precision than other variants of HS. Its effectiveness and performance was assessed, comparing our data against four well known and recent modifications of HS: IHS (Improved harmony search, 2007), ABHS (Adjustable Bandwidth harmony search, 2014), PAHS (Parameter Adaptive harmony search, 2014), and IGHS (Intelligent Global harmony search, 2014). Unlike other works, we did not analyze the data for a given number of iterations. Instead, we ran each algorithm until it achieved a given level of precision, and analyzed the number of iterations it required. Our test benchmark contained 30 standard test functions distributed like this: 11 unimodal, 8 multimodal with fixed dimensions, and 11 multimodal with variable dimensions. The latter also included a function whose optima was located at a different coordinate in each dimension. The search domain for each function was fixed according to the literature, though we also executed tests regarding the effect of varying it. We carried out a parameter sweep to find adequate values for each parameter of our proposed algorithm, analyzing 100 independent runs for 648 different combinations. Data confirm the implemented procedure outperformed the other variants for problems in 2D and in 5D. Scaling the test functions to 10D, 30D, and 50D reduced the convergence rate of the implemented procedure, but it still outperformed IHS, ABHS, and PAHS. In some cases (e.g. Schwefel function in 30D), the Self-regulated Fretwidth harmony search algorithm (SFHS) was found to be the fastest approach. It was also found that IGHS performs well for optimization problems whose optima is located at the same coordinates in all dimensions, but not as well in other scenarios. Our proposed algorithm (SFHS) is not hind

关键词： Global optimization harmony search algorithm Metaheuristic Self-regulated Fret width harmony search algorithm Standard test function

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Optimum Multicrop-Pattern Planning by Coupling SWAT and the harmony search algorithm

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JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING 2016年第12期142卷 016063-1-016063-10页

作者： Rafiee, Vahid Shourian, Mojtaba Shahid Beheshti Univ Dept Civil Water & Environm Engn Tehran *** Iran

Crop planning and water resources allocation to meet agricultural demand in arid and semiarid regions such as Iran are a serious challenge. One of the procedures to meet this challenge is to devise approaches for determining the optimal crop patterns based on the limited water resources. In this study, a simulation-optimization approach was applied in which a soil and water assessment tool (SWAT) has been applied for simulating the complex climate-soil-plant relationships. The harmony search (HS) algorithm has been coupled with SWAT to find the optimal irrigation plan and crop pattern in two scenarios in the Azadegan plain in the Karkheh basin in southeastern Iran. In the first scenario, the crop pattern was the variable of the model while in the second one, it was predefined as the existing situation in the plain. The objective function of the coupled model was to maximize the net profit subject to the total available land and water constraints. Results obtained by the developed model show that the net profit gained in the plain has a potential of increasing up to 213% in the first and 25% in the second scenario while the water consumption decreased by 28 and 48%, respectively, compared to the present situation of the plain. Accordingly, the performance of the HS-SWAT model indicates its capability for solving optimum crop-pattern and irrigation-planning problems. (C) 2016 American Society of Civil Engineers.

关键词： Crop pattern Irrigation plan Agricultural products Simulation-optimization Soil and water assessment tool (SWAT) harmony search algorithm

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Project Portfolio Selection via harmony search algorithm and Modern Portfolio Theory

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Procedia - Social and Behavioral Sciences 2016年 226卷 51-58页

作者： Hamed Nasr Esfahani Mohammad hossein Sobhiyah Vahid Reza Yousefi Tarbiat Modares University Jalal Ale Ahmad Highway P.O. Box: 14115-111 Tehran Iran University of Tehran Enghelab Ave. Tehran Iran

Since the success of all organizations depends on aligning their projects with strategic plan of theirs, selecting appropriate project portfolio is a key decision in the path to fruitful and thriving organization. Modern portfolio theory (MPT), proposed by Harry Markowitz, attempts to maximize portfolio expected return for a specific amount of risk or equivalently, minimize risk when the expected return is specified. In this paper we first go through the literature of the portfolio selection. Secondly, the definition and mathematical formulation of modern portfolio theory is presented; thirdly in the next section the fundamental of classic harmony search algorithm (a metaheuristic algorithm) is illustrated, and finally, the numerical example of solving a benchmark problem of project portfolio selection and its results is presented. Provided results demonstrates that this algorithm solves the hard problem to almost optimality faster and robuster than other exact algorithms.

关键词： project portfolio selection modern portfolio theory harmony search algorithm metaheuristic.

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A global harmony search algorithm for finding optimal capacitor location and size in distribution networks

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Journal of Central South University 2015年第5期22卷 1748-1761页

作者： Reza Sirjani Melkamu Gamene Bade Cyprus International University Faculty of Engineering Nicosia Northern Cyprus Mersin 10 Turkey

Shunt capacitors are broadly applied in distribution systems to scale down power losses, improve voltage profile and boost system capacity. The amount of capacitors added and location of deployment in the system highly determine the advantage of compensation. A novel global harmony search(GHS) algorithm in parallel with the backward/ forward sweep power flow technique and radial harmonic power flow was used to investigate the optimal placement and sizing of capacitors in radial distribution networks for minimizing power loss and total cost by taking account load unbalancing, mutual coupling and harmonics. The optimal capacitor placement outcomes show that the GHS algorithm can reduce total power losses up to 60 k W and leads to more than 18% of cost saving. The results also demonstrate that the GHS algorithm is more effective in minimization of power loss and total costs compared with genetic algorithm(GA), particle swarm optimization(PSO) and harmony search(HS) algorithm. Moreover, the proposed algorithm converges within 800 iterations and is faster in terms of computational time and gives better performance in finding optimal capacitor location and size compared with other optimization techniques.

关键词： optimal capacitor placement harmonics unbalancing harmony search algorithm

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An Adaptive harmony search algorithm based on Positive Feedback for Network Reconfiguration

An Adaptive Harmony Search Algorithm based on Positive Feedb...

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IEEE Power and Energy Society General Meeting

作者： Zhi Li Yuqi Han Yu Zhang Yingkai Bao Chuangxin Guo Jianmin Zhang College of Electrical Engineering Zhejiang University College of Electrical Engineering and Automation Hangzhou Dianzi University

ISBN: (纸本)9781509041695

关键词： Distribution network reconfiguration harmony search algorithm Positive feedback mechanism Entropy Adaptive parameter setting Network reconfiguration searchING algorithm entropy Positive feedback HEALTH MONITORING feedback mechanism dispensing system

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