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On the Shape Optimization of Self-Adaptive Grooves

TRIBOLOGY TRANSACTIONS 2011年第2期54卷 256-264页

作者： Fesanghary, M. Khonsari, M. M. Louisiana State Univ Dept Mech Engn Baton Rouge LA 70803 USA

Microscale mechanical self-adaptive bearings are a recent development in the field that offer promising features such as enhanced load-carrying capacity compared to conventional bearings. This study aims to improve the load-carrying capacity of these bearings by introducing novel deformable groove designs. The objective is to find the optimum groove's top surface shape that maximizes the load-carrying support. Assuming that the thickness can vary along the groove's length, three different thickness patterns including constant, linear, and spline are considered. A hybrid optimization algorithm based on the harmony search (HS) algorithm and sequential quadratic programming (SQP) is utilized to find the optimum shape for each thickness pattern. A benchmark problem is considered to show the performance of new designs. Results show that the optimally designed grooves with spline thickness profile can have load-carrying capacities up to 45% larger than the original ones.

关键词： Self-Adaptive Grooves Shape Optimization Load-Carrying Capacity harmony search algorithm Mathematical Programming

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Multi-objective Soft Computing Approaches to Evaluate the Performance of Abrasive Water Jet drilling Parameters on Die Steel

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ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING 2021年第8期46卷 7893-7907页

作者： Mahalingam, Sivakumar Kuppusamy, Balaji Natarajan, Yuvaraj Vel Tech Rangarajan Dr Sagunthala R&D Inst Sci & Dept Mech Engn Chennai Tamil Nadu India

In the current manufacturing methods, improvement in process performance will be resulting in huge benefits to the industries. For the improvement in part or product quality, the machining process must be operating with the optimal parameters, and thus, quality attributes can be produced. It applies to one of the modern machining techniques such as abrasive water jet (AWJ) as the use of this technique is growing rapidly in manufacturing industries for needful applications. Therefore, the present work is proposed to find the optimal level of AWJ parameters such as water jet pressure, stand-off distance, abrasive mass flow rate for drilling die steel with the simultaneous minimization of drilled hole features such as surface roughness, circularity, and cylindricity by using an unusual metaheuristic technique, namely harmony search algorithm (HSA). In addition, taguchi grey relational analysis (TGRA) was performed and their results were compared with the HSA technique. The multiple linear regression models were developed for each response, and the same were used in HSA to determine the optimum parameters for the minimization of responses where the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method was employed to convert the multi-objectives into single objective. In this study, the efficacy of HSA technique was demonstrated with the hole features of die steel. The results proved that the HSA technique had outperformed the TGRA based on the overall improvement in AWJ drilling performance on die steel, and the predicted process attributes such as surface roughness of 1.53625 mu m, circularity of 0.04370 mm, and cylindricity of 0.02459 mm were obtained at water jet pressure of 275.4 MPa, stand-off distance of 3.96 mm, and abrasive flow rate as 0.25 kg/min. Also, the percentage deviation error (< 6%) of the predicted hole features of HSA is acceptable and analogous to the experimental results. Hence, it is confirmed that a new metaheuristic alg

关键词： Abrasive water jet Drilling Hole features TGRA harmony search algorithm

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Meta-heuristic algorithms as tools for hydrological science

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GEOSCIENCE LETTERS 2014年第1期1卷 1页

作者： Yoo, Do Guen Kim, Joong Hoon Korea Univ Res Ctr Disaster Prevent Sci & Technol Seoul 136713 South Korea Korea Univ Sch Civil Environm & Architectural Engn Seoul 136713 South Korea

In this paper, meta-heuristic optimization techniques are introduced and their applications to water resources engineering, particularly in hydrological science are introduced. In recent years, meta-heuristic optimization techniques have been introduced that can overcome the problems inherent in iterative simulations. These methods are able to find good solutions and require limited computation time and memory use without requiring complex derivatives. Simulation-based meta-heuristic methods such as Genetic algorithms (GAs) and harmony search (HS) have powerful searching abilities, which can occasionally overcome the several drawbacks of traditional mathematical methods. For example, HS algorithms can be conceptualized from a musical performance process and used to achieve better harmony;such optimization algorithms seek a near global optimum determined by the value of an objective function, providing a more robust determination of musical performance than can be achieved through typical aesthetic estimation. In this paper, meta-heuristic algorithms and their applications (focus on GAs and HS) in hydrological science are discussed by subject, including a review of existing literature in the field. Then, recent trends in optimization are presented and a relatively new technique such as Smallest Small World Cellular harmony search (SSWCHS) is briefly introduced, with a summary of promising results obtained in previous studies. As a result, previous studies have demonstrated that meta-heuristic algorithms are effective tools for the development of hydrological models and the management of water resources.

关键词： Meta-heuristic algorithm harmony search algorithm Hydrological sciences

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A Novel Approach to Improve Automatic Generation Control of a Two-Area Power System Considering Frequency Bias Factor 6

A Novel Approach to Improve Automatic Generation Control of ...

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6th Conference on Thermal Power Plants (CTPP)

作者： Robati, Ehsan Kazemi Shivaie, Mojtaba Ameli, Mohammad T. Shahid Beheshti Univ Dept Elect Engn Tehran Iran

ISBN: (纸本)9781509003723

In this paper, a novel approach is presented to find the optimal adjustment of Automatic Generation Control (AGC) system in a two-area power system. In the proposed method, a newly developed harmony search algorithm is implemented to solve the non-convex non-linear problem of AGC. In order to show efficiency of the proposed approach, the response of HSA-Optimized system to disturbances is compared with the results of GA-Optimized system. The cost function of the proposed problem is considered based on Integral of Time Multiplied Square Error (ITSE). In order to improve the system performance, frequency bias factor (FBF) is modeled in the problem and the proposed method is implemented in a non-linear interconnected two area power system. Simulation results verified that employing the proposed approach in optimization process of control system would guarantee a better system performance comparing to other methods.

关键词： Integral of Time Multiplied Square Error harmony search algorithm two-area nonlinear power system Load-Frequency Control

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An Intelligent Topology Control Protocol for Wireless Sensor Networks

An Intelligent Topology Control Protocol for Wireless Sensor...

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7th International Conference on Computer Science and Education

作者： Jameii, Seyed Mandi Nikdel, Arash Faez, Karim Islamic Azad Univ Shahr E Qods Branch Dept Comp Engn Tehran Iran Islamic Azad Univ Shoushtar Branch Dept Comp Engn Shoushtar Iran Amirkabir Univ Technol Dept Elect Engn Tehran Iran

ISBN: (纸本)9781467302395

Topology control protocols try to decrease average of node's transition radius without decreasing network connectivity. In this paper, we propose a topology control protocol and maintain the connectivity of the sensor network by adjusting the transition radius of the sensor nodes. In this protocol, proper transition radius of the sensor nodes can be determined using the harmony search algorithm. Due to the proposed protocol accuracy in selecting the transition radius of sensor nodes, it is able to provide the full connectivity in sparse deployment. Moreover, as the result of increasing nodes density, the proposed protocol decreases the energy consumption of the sensor network and prolongs the network lifetime. We have simulated our protocol and simulation results show high efficiency of the proposed protocol.

关键词： Energy Consumption harmony search algorithm Topology Control Wireless Sensor Network

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Threshold single multiplicative neuron artificial neural networks for non-linear time series forecasting

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JOURNAL OF APPLIED STATISTICS 2021年第13-15期48卷 2809-2825页

作者： Yildirim, Asiye Nur Bas, Eren Egrioglu, Erol Giresun Univ Fac Arts & Sci Dept Stat Giresun Turkey Univ Lancaster Dept Management Sci Lancaster England

Single multiplicative neuron artificial neural networks have different importance than many other artificial neural networks because they do not have complex architecture problem, too many parameters and they need more computation time to use. In single multiplicative neuron artificial neural network, it is assumed that there is a one data generation process for time series. Many time series need an assumption that they have two data generation process or more. Based on this idea, the threshold model structure can be employed in a single multiplicative neuron model artificial neural network for taking into considering data generation processes problem. In this study, a new artificial neural network type is proposed and it is called a threshold single multiplicative neuron artificial neural network. It is assumed that time series have two data generation processes according to the architecture of single multiplicative neuron artificial neural network. Training algorithms are proposed based on harmony search algorithm and particle swarm optimization for threshold single multiplicative neuron artificial neural network. The proposed method is tested by various time series data sets and compared with well-known forecasting methods by considering different error measures. Finally, the performance of the proposed method is evaluated by a simulation study.

关键词： Threshold multiplicative neuron model harmony search algorithm particle swarm optimization forecasting

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Hybridizing Bat algorithm with Modified Pitch Adjustment Operator for Numerical Optimization Problems 1

Hybridizing Bat Algorithm with Modified Pitch Adjustment Ope...

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1st International Conference on Computer Science and Engineering (COMPSE)

作者： Ghanem, Waheed Ali H. M. Jantan, Aman Univ Sains Malaysia Sch Comp Sci Gelugor Penang Malaysia Univ Aden Fac Educ Saber Aden Yemen Univ Aden Fac Engn Aden Yemen Univ Sains Malaysia Sch Comp Sci Gelugor Penang Malaysia

ISBN: (纸本)9783319705422;9783319705415

This article introduces a new metaheuristic approach that is a hybrid of two known algorithms, for solving global optimization problems. The proposed algorithm is based on the Bat algorithm (BA), which is inspired by the micro-bat echolocation phenomenon, and addresses the problems of local-optima trapping and low precision using an adjusted mutation operator from the harmony search (HS) algorithm. The proposed Hybrid Bat harmony (HBH) algorithm attempts to balance the good exploitation process of BA with a fast exploration feature inspired by HS. The design of HBH is introduced and its performance is evaluated against fourteen of the standard benchmark functions, and compared to that of the standard BA and HS algorithms and to another recent hybrid algorithm (HS/BA). The obtained results show that the new HBH method is indeed a promising addition to the arsenal of metaheuristic algorithms and can outperform the original BA and HS algorithms.

关键词： Bat algorithm Global optimization problem harmony search algorithm Pitch adjustment operator

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A meta-heuristic home energy management system 31

A meta-heuristic home energy management system

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31st IEEE International Conference on Advanced Information Networking and Applications (IEEE AINA)

作者： Zafar, Ayesha Shah, Samia Khalid, Rabiya Hussain, Sardar Mehboob Rahim, Hassan Javaid, Nadeem COMSATS Inst Informat Technol Islamabad 44000 Pakistan

ISBN: (纸本)9781509062317

In this work, we evaluate performance of home energy management system(HEM) by using three meta-heuristic optimization techniques: harmony search algorithm (HSA), Bacterial foraging optimization (BFO) and Enhanced deferential evolution(EDE). We categorize appliances into three groups on the basis of their energy consumption pattern. Real time pricing (RTP) scheme is used for electricity bill calculation. Our objectives are to minimize electricity cost, energy consumption, reduction in peak to average ratio while maximizing user comfort. However, there exists a trade-off between different objectives. Our simulation results show that there exist a trade-off between user comfort and cost. Results also show that in terms of cost HSA perform better among other techniques.

关键词： Smart grid Demand side management Demand response Heuristic techniques Bacterial foraging harmony search algorithm Enhanced deferential evolution

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Hyper-heuristic approach for solving Nurse Rostering Problem

Hyper-heuristic approach for solving Nurse Rostering Problem

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IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE

作者： Anwar, Khairul Awadallah, Mohammed A. Khader, Ahamad Tajudin Al-Betar, Mohammed Azmi USM Sch Comp Sci George Town 11800 Malaysia Al Balqa Appl Univ Al Huson Univ Coll Dept Informat Technol Irbid Jordan Al Aqsa Univ Fac Comp Sci Gaza Israel

ISBN: (纸本)9781479945122

Hyper-heuristic (HH) is a higher level heuristic to choose from a set of heuristics applicable for the problem on hand. In this paper, a harmony search-based Hyper-heuristic (HSHH) approach is tested in solving nurse rostering problems (NRP). NRP is a complex scheduling problem of assigning given shifts to a given nurses. We test the proposed method by using the First International Nurse Rostering Competition 2010 (INRC2010) dataset. Experimentally, the HSHH approach achieved comparable results with the comparative methods in the literature.

关键词： Nurse Rostering Problems harmony search algorithm Hyper-heuristic methods

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HS Based UKF Model Parameter Estimation for AUV Navigation

HS Based UKF Model Parameter Estimation for AUV Navigation

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OCEANS Conference

作者： Zhang, Dehui Zhang, Xin Zhang, Di He, Bo Ocean Univ China Sch Informat Sci & Engn Qingdao Peoples R China

ISBN: (纸本)9780692935590

Highly accurate positioning is essential for Autonomous Underwater Vehicles (AUVs) to finish missions in complex underwater environments. Unscented Kalman Filter (UKF) has become a common algorithm for underwater navigation due to its low computational complexity and high accuracy. The uncertainty of system noise and observation noise is an important factor that affects the navigation accuracy of AUV. This paper proposes a method to improve the navigation accuracy of AUVs by estimating the system noise and observation noise parameters of the UKF model based on the harmony search (HS) algorithm. The proposed algorithm has been verified by sensor data assembled by our own AUV. Experimental results show that this method can effectively improve the navigation accuracy of AUV.

关键词： Autonomous Underwater Vehicle Navigation Unscented Kalman Filter harmony search algorithm

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