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10th International Conference on Informatics and Systems (INFOS)

作者： Hamza, Kamal S. Amir, Fathy Cairo Univ Dept Informat Technol Giza Egypt

ISBN: (纸本)9781450340625

Emerging practical deployments for the Internet of Things (IoT) trigger a need to integrate and inter-operate a variety of heterogenous networks to realize real business values. Several applications require the integration of wireless sensor networks (WSN), WiFi, and Radio Frequency Identifiers (RFID) into one single network to fulfil business requirements. As most of such deployments are characterized as being large-scale and heterogeneous, special algorithms and techniques are needed in order to deal with data collection, processing, and transmission in such networks. Results reported in the literature confirm that clustering techniques can be very efficient in dealing with routing in large-scale networks. However;due to the heterogeneity of IoT networks, the use of conventional clustering techniques may not result in an efficient clustering. Accordingly, in this paper, we attempt to address this problem by studying the use of evolutionary clustering algorithms in integrated WSN-RFID networks. In particular, the performance of two evolutionary algorithms;namely the Genetic algorithms (GA) and the harmony search (HS), is analyzed and compared. It is shown that, the GA outperforms the HS significantly in the cluster formation process for integrated WSN-RFID networks.

关键词： WSN IoT RFID Evolutionary algorithm Genetic algorithms harmony search algorithm

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A Novel Approach For Smart Curriculum Sequencing Based On HSA Evolutionary Computation 4

A Novel Approach For Smart Curriculum Sequencing Based On HS...

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4th IEEE International Colloquium on Information Science and Technology (CiSt)

作者： Hnida, Meriem Idrissi, Mohammed Khalidi Bennani, Samir Mohammed V Univ Rabat Mohammadia Sch Engineers EMI RIME Team LRIE Lab Rabat Morocco

ISBN: (纸本)9781509007516

In this paper, an evolutionary algorithm is applied to tackle Intelligent Curriculum Sequencing issue. The purpose is to align educational technology, for instance, curriculum sequence to: students' characteristics and subject-matter coherence. The algorithm considers both technical and pedagogical point of view. Results show that the proposed Evolutionary Computation search algorithm could find optimal learning sequences, under a set of constraints, within a reasonable amount of iterations.

关键词： Adaptive Learning Intelligent Educational Technology Intelligent Curriculum Sequencing harmony search algorithm Evolutionary Computation

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On Lifetime Enhancement of Dynamic Wireless Sensor Networks with Energy-Harvesting Sensors

On Lifetime Enhancement of Dynamic Wireless Sensor Networks ...

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IEEE/CIC International Conference on Communication in China (ICCC)

作者： Lin, Chun-Cheng Deng, Der-Jiunn Shu, Lei Wang, Kun Wang, Shang-Bin Tsai, I-Hsin Natl Chiao Tung Univ Dept Ind Engn & Management Hsinchu Taiwan Natl Changhua Univ Educ Dept Comp Sci & Informat Engn Changhua Taiwan Guangdong Univ Petrochem Technol Guangdong Prov Key Lab Petrochem Equipment Fault Maoming Peoples R China Nanjing Univ Posts & Telecommun Sch Internet Things Nanjing Jiangsu Peoples R China

ISBN: (纸本)9781509021437

This work investigates the problem of extending the lifetime of dynamic WSNs with energy-harvesting (EH) sensors to enhancing the total WSN lifetime. This problem is modeled as finding the maximal number of covers each of which can cover all targets to be monitored. Since the concerned problem is also NP-complete, this work proposes a novel harmony search algorithm. By simulation, the proposed algorithm is shown to be promising.

关键词： Wireless sensor network energy-harvesting sensor harmony search algorithm

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An implementation of harmony search algorithm to unit commitment problem

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ELECTRICAL ENGINEERING 2010年第6期92卷 215-225页

作者： Afkousi-Paqaleh, M. Rashidinejad, M. Pourakbari-Kasmaei, M. Sharif Univ Technol Dept Elect Engn Tehran Iran Shahid Bahonar Univ Kerman Dept Elect Engn Kerman Iran

This paper presents a harmony search algorithm (HSA) to solve unit commitment (UC) problem. HSA was conceptualized using the musical process of searching for a perfect state of harmony, just as the optimization process seeks to find 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, as a heuristic optimization algorithm, may solve power system scheduling problem in a better fashion in comparison with the other evolutionary search algorithm that are implemented in such complicated issue. Two case studies are conducted to facilitate the effectiveness of the proposed method. One is a conventional 10-unit test system and its multiples while the other is a 26-unit system, both of which are with a 24-h scheduling horizon. Comparison of the obtained results with other approaches addressed in the literature shows the effectiveness and fastness of the proposed method.

关键词： Unit commitment harmony search algorithm Power generation scheduling Electric power generation

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harmony filter: A robust visual tracking system using the improved harmony search algorithm

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IMAGE AND VISION COMPUTING 2010年第12期28卷 1702-1716页

作者： Fourie, Jaco Mills, Steven Green, Richard Univ Canterbury Christchurch 1 New Zealand Geospatial Res Ctr NZ Ltd Christchurch New Zealand

In this article a novel approach to visual tracking called the harmony filter is presented. It is based on the harmony search algorithm, a derivative free meta-heuristic optimisation algorithm inspired by the way musicians improvise new harmonies. The harmony filter models the target as a colour histogram and searches for the best estimated target location using the Bhattacharyya coefficient as a fitness metric. Experimental results show that the harmony filter can robustly track an arbitrary target in challenging conditions. We compare the speed and accuracy of the harmony filter with other popular tracking algorithms including the particle filter and the unscented Kalman filter. Experimental results show the harmony filter to be faster and more accurate than both the particle filter and the unscented Kalman filter. (c) 2010 Elsevier B.V. All rights reserved.

关键词： Visual tracking harmony search algorithm Soft computing Evolutionary algorithm 2000 MSC: 68T45

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Self-Stunding Up of Humanoid Robot Using a New Intelligent algorithm 8

Self-Stunding Up of Humanoid Robot Using a New Intelligent A...

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8th International Conference on Modelling, Identification and Control (ICMIC)

作者： Lachouri, Farid Khelifi, Abdeldjallil Tighzert, Lyes Aguercif, Thafsouth Mendil, Boubekeur Univ Bejaia Fac Technol Dept Genie Elect Bejaia 06000 Algeria Univ Bejaia Fac Technol LTII Bejaia 06000 Algeria

ISBN: (纸本)9780956715777

this paper introduces a new compact intelligent algorithm for global optimization problems. The proposed algorithm is inspired from music improvisation. It is a variant of harmony search algorithm. It is called the compact harmony search algorithm (c SA). It uses a compact representation to store the harmonies in the memory. The proposed intelligent algorithm is compared to the standard version of harmony search algorithm and the results shown that it is very efficient in terms of convergence uality, accuracy, stability and time processing. e give also an application of the algorithm for the realization of self-standing-up of the humanoid robot hydroid.

关键词： compact representation optimization harmony search algorithm hmanoid robot self-standing

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Chebyshev polynomial functions based locally recurrent neuro-fuzzy information system for prediction of financial and energy market data

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Journal of Finance and Data Science 2016年第3期2卷 202-223页

作者： Parida, A.K. Bisoi, R. Dash, P.K. Orissa Engineering College Bhubaneswar India Multidisciplinary Research Cell Siksha ‘O’ Anusandhan University Bhubaneswar India

In this paper Chebyshev polynomial functions based locally recurrent neuro-fuzzy information system is presented for the prediction and analysis of financial and electrical energy market data. The normally used TSK-type feedforward fuzzy neural network is unable to take the full advantage of the use of the linear fuzzy rule base in accurate input–output mapping and hence the consequent part of the rule base is made nonlinear using polynomial or arithmetic basis functions. Further the Chebyshev polynomial functions provide an expanded nonlinear transformation to the input space thereby increasing its dimension for capturing the nonlinearities and chaotic variations in financial or energy market data streams. Also the locally recurrent neuro-fuzzy information system (LRNFIS) includes feedback loops both at the firing strength layer and the output layer to allow signal flow both in forward and backward directions, thereby making the LRNFIS mimic a dynamic system that provides fast convergence and accuracy in predicting time series fluctuations. Instead of using forward and backward least mean square (FBLMS) learning algorithm, an improved Firefly-harmony search (IFFHS) learning algorithm is used to estimate the parameters of the consequent part and feedback loop parameters for better stability and convergence. Several real world financial and energy market time series databases are used for performance validation of the proposed LRNFIS model. © 2016 China Science Publishing & Media Ltd.

关键词： Chebyshev polynomials Currency exchange rate prediction Electricity price forecasting Firefly optimization harmony search algorithm Locally recurrent neuro-fuzzy network Stock price prediction TSK fuzzy rules

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Model penicillin fermentation by least squares support vector machine with tuning based on amended harmony search

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International Journal of Biomathematics 2015年第3期8卷 175-204页

作者： Hai-Bin Ou Yang Steven Li Ping Zhang College of Information Science and Engineering Northeastern University Shenyang 110819 P. R. China Graduate School of Business and LawRMIT University Melbourne 3000 Australia Anshan Normal University Anshan Liaoning 114005 P. R. China

Penicillin fermentation is an important part of microbial fermentation. Due to the existence of error date in the independent variables and dependent variables of the penicillin fermentation sample data, the accuracy of the model of penicillin fermentation is affected. In this paper, an amended harmony search （AHS） algorithm is developed to adjust the hyper-parameters of least squares support vector machine （LS-SVM） in order to build penicillin fermentation process model with prediction accuracy. The AHS algorithm is investigated by unconstrained benchmark functions with different characteristics. Compared with other several optimization approaches, AHS demonstrates a better performance. Moreover, using the simulation data from the PenSim simulation platform to validate the effectiveness of the penicillin fermentation process modeling, experiment results show that the penicillin fermentation process modeling based on the tuned LS-SVM by AHS possesses robustness and generalization ability.

关键词： Penicillin fermentation harmony search algorithm LS-SVM penicillin fermentation process model robustness.

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An Efficient Approach to Tune Modern Power System Stabilizers using harmony search 12

An Efficient Approach to Tune Modern Power System Stabilizer...

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12 IEEE Int C Elect Energy Env Communications Computer Control

作者： Krishan, Ram Verma, Ashu Indian Inst Technol Delhi Ctr Energy Studies New Delhi India

ISBN: (纸本)9781467365406

A multiband power system stabilizer tuning method, in which objective is to enhance the damping of the rotor oscillations and system stability is proposed in this paper. This tuning approach is based on an efficient search algorithm known as harmony search algorithm. Robust design problem of PSS4B is considered as an optimization problem with nonlinear simulation based objective function. A single machine infinite bus (SMIB) system is evaluated under large range of loading conditions and disturbances for performance investigation of the proposed design. In order to demonstrate the effectiveness of designed PSS4B stabilizers, time domain simulations are carried out for SMIB system. Superiority of the proposed PSS4B design is proved by comparative study of transient responses with existing model of PSS4B.

关键词： Multiband power system stabilizers IEEE PSS4B harmony search algorithm dynamic stability IEEE std. 421.5

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OPTIMAL REACTIVE/VOLTAGE CONTROL BY AN IMPROVED harmony search algorithm

OPTIMAL REACTIVE/VOLTAGE CONTROL BY AN IMPROVED HARMONY SEAR...

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23rd Canadian Conference on Electrical and Computer Engineering (CCECE)

作者： Khazali, A. H. Parizad, A. Kalantar, M. Iran Univ Sci & Technol IUST Ctr Excellence Power Syst Automat & Operat Dept Elect Engn Tehran 16846 Iran

ISBN: (纸本)9781424453771

This paper presents an improved harmony search algorithm for the optimal reactive/voltage control problem. Optimal reactive/voltage control is a mixed integer, nonlinear optimization problem which includes both continuous and discrete control variables. The proposed algorithm is used to find the settings of control variables such as generator voltages, tap positions of tap changing transformers and the amount of reactive compensation devices to optimize a certain objective. The objectives are power transmission loss, voltage stability and voltage profile which are optimized separately. In the presented method, the inequality constraints are handled by penalty coefficients. The study is implemented on the IEEE 30 Bus system and the results are compared with other evolutionary programs such as harmony search algorithm (HSA) and particle swarm optimization (PSO).

关键词： Optimal reactive/voltage control harmony search algorithm Optimization Loss minimization

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