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Amended harmony search algorithm with perturbation strategy for large-scale system reliability problems

APPLIED INTELLIGENCE 2018年第11期48卷 3863-3888页

作者： Ouyang, Hai-bin Gao, Li-qun Li, Steven Guangzhou Univ Sch Mech & Elect Engn Guangzhou 510006 Guangdong Peoples R China Northeastern Univ Coll Informat Sci & Engn Shenyang 110004 Liaoning Peoples R China RMIT Univ Grad Sch Business & Law Melbourne Vic 3000 Australia

Large-scale system reliability problem is a nonconvex integer nonlinear programming problem, traditional mathematical programming methods have computation limits and can not optimize an effective solution in a reasonable time. This paper employed an amended harmony search algorithm(AHS) to solve large-scale system reliability problems. In AHS, perturbation strategy, key parameter adjustment and global dimension selection strategy are designed to balance the capability of exploitation and exploration. A comprehensive comparison is carried out to assess the search efficiency and convergence performance of AHS. Function test and large-scale system reliability case results show that AHS is superior to many previously reported well-known and excellent algorithms.

关键词： harmony search algorithm Robustness Convergence rate Large-scale system reliability problems

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Hybridizing harmony search algorithm with different mutation operators for continuous problems

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APPLIED MATHEMATICS AND COMPUTATION 2014年 232卷 1166-1182页

作者： Hasan, Basima Hani F. Abu Doush, Iyad Al Maghayreh, Es Lam Alkhateeb, Faisal Hamdan, Mohammad Yarmouk Univ Dept Comp Sci Irbid 21163 Jordan

harmony search (HS) is a recent EA inspired by musical improvisation process to seek a pleasing harmony. Mutation is a vital component used in Evolutionary algorithms (EA) where a value in the population is randomly selected to be altered to improve the evolution process. The original HS algorithm applies an operation similar to mutation during the random consideration operator. During random selection operator a value within the range of the decision variable is selected randomly to explore different areas in the search space. This paper aims at experimentally evaluating the performance of HS algorithm after replacing the random consideration operator in the original HS with five different mutation methods. The different variations of HS are experimented on standard benchmark functions in terms of final obtained solution and convergence speed. The results show that using polynomial mutation improves the performance of the HS algorithm for most of the used functions. (C) 2013 Elsevier Inc. All rights reserved.

关键词： harmony search algorithm Evolutionary algorithms Mutation Meta-heuristic algorithm Polynomial mutation

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Waveform matching approach for fault diagnosis of a high-voltage transmission line employing harmony search algorithm

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IET GENERATION TRANSMISSION & DISTRIBUTION 2010年第7期4卷 801-809页

作者： Wei, L. Guo, W. Wen, F. Ledwich, G. Liao, Z. Xin, J. S China Univ Technol Sch Elect Engn Guangzhou 510640 Guangdong Peoples R China Zhejiang Univ Sch Elect Engn Hangzhou 310027 Peoples R China Queensland Univ Technol Sch Engn Syst Brisbane Qld 4001 Australia Jiangxi Elect Power Res Inst Nanchang 330006 Peoples R China

An accurate and effective technology for fault diagnosis of a high-voltage transmission line plays an important role in supporting rapid system restoration. The fault diagnosis of a high-voltage transmission line involves three major tasks, namely fault-type identification, fault location and fault time estimation. The diagnosis problem is formulated as an optimisation problem in this work: the variables involved in the fault diagnosis problem, such as the fault location, and the unknown variables such as ground resistance, are taken into account as optimisation variables;the sum of the discrepancy of the approximation components of the actual and expected waveforms is taken as the optimisation objective. Then, according to the characteristics of the formulated optimisation problem, the harmony search, an effective heuristic optimisation algorithm developed in recent years, is employed to solve this problem. Test results for a sample power system have shown that the developed fault diagnosis model and method are correct and efficient.

关键词： waveform matching approach fault time estimation high-voltage transmission line search problems fault location Inspection and quality control harmony search algorithm heuristic optimisation algorithm fault diagnosis fault-type identification optimisation power transmission lines Combinatorial mathematics rapid system restoration Optimisation techniques Power transmission lines and cables

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Novel global harmony search algorithm for unconstrained problems

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NEUROCOMPUTING 2010年第16-18期73卷 3308-3318页

作者： Zou, Dexuan Gao, Liqun Wu, Jianhua Li, Steven Northeastern Univ Sch Informat Sci & Engn Shenyang 110004 Liaoning Peoples R China Univ S Australia Div Business Adelaide SA 5001 Australia

In this paper, we use a recently proposed algorithm-novel global harmony search (NGHS) algorithm to solve unconstrained problems. The NGHS algorithm includes two important operations: position updating and genetic mutation with a low probability. The former can enhance the convergence of the NGHS, and the latter can effectively prevent the NGHS from being trapped into the local optimum. Based on a large number of experiments, the NGHS has demonstrated stronger convergence and stability than original harmony search (HS) algorithm and its two improved algorithms (IHS and SGHS). (C) 2010 Elsevier B.V. All rights reserved.

关键词： Novel global harmony search algorithm Position updating Genetic mutation Convergence Stability harmony search algorithm

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Hybrid parallel chaos optimization algorithm with harmony search algorithm

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APPLIED SOFT COMPUTING 2014年第0期17卷 12-22页

作者： Yuan, Xiaofang Zhao, Jingyi Yang, Yimin Wang, Yaonan Hunan Univ Coll Elect & Informat Engn Changsha 410082 Hunan Peoples R China

The application of chaotic sequences can be an interesting alternative to provide search diversity in an optimization procedure, named chaos optimization algorithm (COA). Since the chaotic motion is pseudorandomness and chaotic sequences are sensitive to the initial conditions, the search ability of COA is usually effected by the starting values. Considering this weakness, parallel chaos optimization algorithm( PCOA) is studied in this paper. To obtain optimum solution accurately, harmony search algorithm (HSA) is integrated with PCOA to form a novel hybrid algorithm. Different chaotic maps are compared and the impacts of parallel parameter on the hybrid algorithm are discussed. Several simulation results are used to show the effective performance of the proposed hybrid algorithm. (C) 2013 Elsevier B. V. All rights reserved.

关键词： Chaos optimization algorithm (COA) Parallel chaos optimization algorithm (PCOA) harmony search algorithm Hybrid algorithm Chaotic map

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Multi-objective harmony search algorithm for Dynamic Optimal Power Flow with Demand Side Management

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ELECTRIC POWER COMPONENTS AND SYSTEMS 2019年第8期47卷 721-731页

作者： Bhamidi, Lokeshgupta Shanmugavelu, Sivasubramani Indian Inst Technol Patna Dept Elect Engn Patna 801106 Bihar India

In modern power systems, efficient methods like demand side management (DSM) are needed for handling the peak load management problem. An intelligent DSM approach not only gives advantages to utilities but also provides indirect benefits to generating companies. This article introduces a combined model of multi-objective dynamic optimal power flow (MODOPF) and a game theory-based DSM technique. In this article, a single utility company and multiple residential energy consumers are considered for the game theory-based DSM technique. Here, the day ahead load shifting DSM technique is implemented with the help of a day-ahead pricing strategy and an energy consumption game. The total generation cost and transmission losses are considered as the main objectives in the proposed MODOPF problem. These two objectives were optimized individually and simultaneously using harmony search (HS) algorithm with different DSM participation levels for the investigation of generation side benefits. The proposed combined model was tested on two different test systems such as IEEE 30 bus and 118 bus. From the simulation results, it is clear that the combined model consisting of MODOPF and DSM is able to achieve a better economic and secure operation when compared to MODOPF alone.

关键词： dynamic optimal power flow demand side management multi-objective optimization harmony search algorithm game theory approach

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Scheduling Semiconductor Wafer Fabrication Using a New harmony search algorithm Based on Receipt Priority Interval

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Chinese Journal of Electronics 2016年第5期25卷 866-872页

作者： ZHANG Long LIU Min HAO Jinghua WANG Xionghai DONG Jun College of Electrical Engineering Zhejiang University Department of Automation Tsinghua University

For the scheduling problem of Semiconductor wafer fabrication(SWF), a new Dispatching rule based on the load balance(DRLB) is proposed. Further, a new harmony search(HS) algorithm based receipt priority interval(HS rpi) is presented to minimize the mean cycle time. A kind of chaotic sequence is used as the harmony vector. Then, a conversion method is designed to convert the real number harmony vector to the mixed vector representing the priorities of all receipts and the algorithm parameters. In order to increase the algorithm robustness and decrease the scale of the scheduling problem, based on receipt priority interval and DRLB, we give a special conversion method used to convert the above mixed vector to the solution of the scheduling problem of SWF. Computational simulations based on the practical instances validate the proposed algorithm.

关键词： Semiconductor wafer fabrication harmony search algorithm Receipt priority interval Mean cycle time

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Hybridizing harmony search algorithm with sequential quadratic programming for engineering optimization problems

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COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING 2008年第33-40期197卷 3080-3091页

作者： Fesanghary, M. Mahdavi, M. Minary-Jolandan, M. Alizadeh, Y. Amir Kabir Univ Technol Dept Mech Engn Tehran 158754413 Iran Sharif Univ Technol Dept Comp Engn Tehran 113658639 Iran Univ Illinois Dept Mech Sci & Engn Urbana IL 61801 USA

This study presents a hybrid harmony search algorithm (HHSA) to solve engineering optimization problems with continuous design variables. Although the harmony search algorithm (HSA) has proven its ability of finding near global regions within a reasonable time, it is comparatively inefficient in performing local search. In this study sequential quadratic programming (SQP) is employed to speed up local search and improve precision of the HSA solutions. Moreover, an empirical study is performed in order to determine the impact of various parameters of the HSA on convergence behavior. Various benchmark engineering optimization problems are used to illustrate the effectiveness and robustness of the proposed algorithm. Numerical results reveal that the proposed hybrid algorithm, in most cases is more effective than the HSA and other meta-heuristic or deterministic methods. (C) 2008 Elsevier B.V. All rights reserved.

关键词： heuristic harmony search algorithm hybridization sequential quadratic programming engineering optimization

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Dynamic relocation of mobile base station in wireless sensor networks using a cluster-based harmony search algorithm

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INFORMATION SCIENCES 2017年 385卷 76-95页

作者： Alia, Osama Moh'd Univ Tabuk Fac Comp & Informat Technol Dept Comp Sci POB 741 Tabuk 71491 Saudi Arabia

In wireless sensor networks (WSNs), the location of the base station (BS) relative to sensor nodes is an important consideration in conserving network lifetime. High energy consumption mainly occurs during data communication between sensor nodes and the BS, in both single and multi-hop infrastructures. A WSN design with dynamic BS relocation is therefore desirable as this may prolong the network operational lifetime. However, positioning the BS next to each sensor node may cause data gathering latency. The reorganization of sensor nodes into clusters and the choice of a delegate node from each cluster, known as a cluster head (CH), as a 'communicator' between each cluster and the moving BS appears to avoid this latency problem and enhance the energy utilization in WSNs. In this paper, we propose an energy-efficient network model that dynamically relocates a mobile BS within a cluster-based network infrastructure using a harmony search algorithm. First, this model allocates sensor nodes into an optimal number of clusters in which each sensor node belongs to the most appropriate cluster. Following this, the optimal CHs are chosen from the other clusters' sensors in order to evenly distribute the role of the CHs among the sensors. This infrastructure changes dynamically based on the number of alive nodes, so that load balancing is achieved among sensor nodes. Subsequently, the optimal location of the moving BS is determined between the CHs and the BS, in order to reduce the distances for communication. Finally, sensing and data transmission takes place from each sensor node to their respective CH, and CHs in turn aggregate and send this sensed data to the BS. Simulation results show very high levels of improvements in network lifetime, data delivery and energy consumption compared to static and random mobile BS network models. (C) 2016 Elsevier Inc. All rights reserved.

关键词： Wireless sensor networks Cluster-based energy-efficient routing protocols Mobile base station harmony search algorithm

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Music genre classification based on local feature selection using a self-adaptive harmony search algorithm

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DATA & KNOWLEDGE ENGINEERING 2014年第Jul.期92卷 60-76页

作者： Huang, Yin-Fu Lin, Sheng-Min Wu, Huan-Yu Li, Yu-Siou Natl Yunlin Univ Sci & Technol Dept Comp Sci & Informat Engn Touliu 640 Yunlin Taiwan

This paper proposes an automatic music genre-classification system based on a local feature-selection strategy by using a self-adaptive harmony search (SAHS) algorithm. First, five acoustic characteristics (i.e., intensity, pitch, timbre, tonality, and rhythm) are extracted to generate an original feature set. A feature-selection model using the SAHS algorithm is then employed for each pair of genres, thereby deriving the corresponding local feature set. Finally, each one-against-one support vector machine (SVM) classifier is fed with the corresponding local feature set, and the majority voting method is used to classify each musical recording. Experiments on the GTZAN dataset were conducted, demonstrating that our method is effective. The results show that the local-selection strategies using wrapper and filter approaches ranked first and third in performance among all relevant methods. (C) 2014 Elsevier B.V. All rights reserved.

关键词： Classification Information retrieval Feature selection harmony search algorithm

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