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modified bat algorithm for Localization of Wireless Sensor Network

WIRELESS PERSONAL COMMUNICATIONS 2016年第2期86卷 657-670页

作者： Goyal, Sonia Patterh, Manjeet Singh Punjabi Univ Dept Elect & Commun Engn Patiala 144011 Punjab India

The problem of node localization in wireless sensor networks aims to assign th e geographical coordinates to each device with unknown position, in the deployment area. In this paper the meta heuristic optimization algorithm known as bat algorithm is described in order to evaluate the precision of node localization problem in wireless sensor networks. Meanwhile the existing bat algorithm has also been modified by using the bacterial foraging strategies of bacterial foraging optimization algorithm. Compared with the existing bat algorithm, the proposed modified bat algorithm is shown through simulations to perform constantly better not only in increasing localization success ratios and fast convergence speed but also enhance its robustness.

关键词： Wireless sensor network Localization bat algorithm modified bat algorithm

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modified bat algorithm for Optimal VM’s in Cloud Computing

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Computers, Materials & Continua 2022年第8期72卷 2877-2894页

作者： Amit Sundas Sumit Badotra Youseef Alotaibi Saleh Alghamdi Osamah Ibrahim Khalaf Department of Computer Science and Engineering Lovely Professional UniversityPhagwaraPunjab144411India Department of Computer Science College of Computer and Information SystemsUmm Al-Qura UniversityMakkah21955Saudi Arabia Department of Information Technology College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Al-Nahrain Nano-Renewable Energy Research Center Al-Nahrain UniversityBaghdad10072Iraq

All task scheduling applications need to ensure that resources are optimally used,performance is enhanced,and costs are *** purpose of this paper is to discuss how to Fitness Calculate Values(FCVs)to provide application software with a reliable solution during the initial stages of load *** cloud computing environment is the subject of this *** consists of both physical and logical components(most notably cloud infrastructure and cloud storage)(in particular cloud services and cloud platforms).This intricate structure is interconnected to provide services to users and improve the overall system’s *** case study is one of the most important segments of cloud computing,i.e.,Load *** paper aims to introduce a new approach to balance the load among Virtual Machines(VM’s)of the cloud computing *** proposed method led to the proposal and implementation of an algorithm inspired by the bat algorithm(BA).This proposed modified bat algorithm(MBA)allows balancing the load among virtual *** proposed algorithm works in two variants:MBA with Overloaded Optimal Virtual Machine(MBAOOVM)and modified bat algorithm with Balanced Virtual Machine(MBABVM).MBA generates cost-effective solutions and the strengths of MBA are finally validated by comparing it with bat algorithm.

关键词： bat algorithm cloud computing fitness value calculation load balancing modified bat algorithm

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modified bat algorithm for Combined Economic and Emission Dispatch Problem

Modified Bat Algorithm for Combined Economic and Emission Di...

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International Conference on Advanced Engineering Theory and Applications (AETA)

作者： Ly Huu Pham Thin Huu Ho Thang Trung Nguyen Dieu Ngoc Vo Ton Duc Thang Univ Fac Elect & Elect Engn Ho Chi Minh City Vietnam Univ Tech Educ HCM City Fac Elect & Elect Engn 1 Vo Van Ngan St Hcm City Vietnam HCM City Univ Technol Dept Power Syst 268 Ly Thuong Kiet St10th Dist Hcm City Vietnam

ISBN: (纸本)9783319509044;9783319509037

The paper proposes a new modified bat algorithm (MBA) for solving combined economic and emission load dispatch (CEED) problems where transmission power losses are considered. The MBA is first developed in the paper by modifying the several modifications on the conventional bat algorithm (BA) in aim to improve the performance of the BA. The MBA is tested on two different systems with the transmission power losses. The performance of the MBA is evaluated by comparing obtained results with BA and other existing algorithms available in the study. As a result, it can be concluded that the MBA outperforms the BA and is very strong for solving the CEED problem.

关键词： modified bat algorithm Transmission power losses Economic load dispatch Emission dispatch Combined economic and emission dispatch

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Security constrained economic load dispatch in the presence of interline power flow controller using modified bat algorithm

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AIN SHAMS ENGINEERING JOURNAL 2016年第4期7卷 1029-1043页

作者： Kumar, Y. N. Vijay Sivanagaraju, S. Suresh, Chintalapudi V. SVCET EEE Dept Chittoor 517501 Andhra Pradesh India JNTUK UCEK EEE Dept Kakinada 533003 AP India Vasireddy Venkatadri Inst Technol EEE Dept Guntur 522508 AP India

The utilization of electrical energy due to urbanization and industrialization is increasing day by day, and due to this, there is chance of increasing the uncertainties in a given power system and that affects the economy of the country. The conventional power system in the presence of flexible AC transmission system (FACTS) controllers is an alternative to solve this problem and can increase the power system capability to handle rapid changes in operating conditions of the system. In general, multi-line FACTS controllers are effective than single line FACTS controllers. In this paper, a detailed mathematical modeling of IPFC is presented and the effect of an optimal location is also analyzed. A novel optimization algorithm i.e. modified bat algorithm is proposed to solve optimal power flow problem in the presence of IPFC including system constraints and device limits. The proposed methodology has been tested on standard test systems. (C) 2015 Ain Shams University. Production and hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://***/licenses/by-nc-nd/4.0/).

关键词： Optimal power flow modified bat algorithm Interline power flow controller Power injection model Ramp-rate limits Line stability index

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Grid-Tied PV-BES system based on modified bat algorithm-FLC MPPT technique under uniform conditions

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NEURAL COMPUTING & APPLICATIONS 2021年第21期33卷 14929-14943页

作者： Zhao, Lijun Jiang, Mingxin Dadfar, Sajjad Ibrahim, Ahmed Aboelsaud, Raef Jamali, Farah Hebei Univ Sci & Technol Sch Econ & Management Shijiazhuang Hebei Peoples R China Huaiyin Inst Technol Fac Elect & Informat Engn Huaian Peoples R China Islamic Azad Univ Dept Elect Engn Saveh Branch Saveh Iran Zagazig Univ Dept Elect Power & Machines Engn Zagazig Egypt

Grid-connected photovoltaic (PV) systems play an important role in reducing emissions resulting from conventional fossil-fuel-based power plants. However, in order to effectively integrated PV systems into the power system, many challenges regarding these renewable resources such as extracting maximum power under various conditions should be solved. This paper suggests an enhanced maximum power point tracking (MPPT) by the fuzzy logic controller (FLC) and a modified bat algorithm (MBA) to fine-tune the parameters of the controller. The FLC is greatly affected by rule base and membership functions (MFs). The fine-tuning of such parameters cannot be appropriate when accurate information regarding the system is not available. To overcome the above-mentioned challenges, the MBA algorithm is utilized to optimize the scaling factors of MFs. Simulation results confirm that the suggested MBA-FLC method can effectively cope with the global maxima under different weather circumstances with high efficiency, faster tracking and stable output.

关键词： PV BES MPPT FLC controller modified bat algorithm

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Multi-step-ahead wind speed forecasting based on optimal feature selection and a modified bat algorithm with the cognition strategy

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RENEWABLE ENERGY 2018年第Apr.期118卷 213-229页

作者： Niu, Tong Wang, Jianzhou Zhang, Kequan Du, Pei Dongbei Univ Finance & Econ Sch Stat Dalian 116025 Liaoning Peoples R China Lanzhou Univ Coll Atmospher Sci Key Lab Arid Climat Change & Reducing Disaster Ga Lanzhou 730000 Gansu Peoples R China

With the arrival of big data, data mining analysis and high-performance forecasting of wind speed is increasingly attracting close attention. Despite the fact that massive investigations concerning wind speed forecasting in theory and practice have been conducted by multiple researchers, studies concerning multi-step-ahead forecasting are still lacking, impeding the further development in the field. In this study, a novel hybrid approach is proposed for multi-step-ahead wind speed forecasting utilizing optimal feature selection and an artificial neural network optimized by a modified bat algorithm with cognition strategy. The proposed hybrid model can largely remedy the deficiencies of neural networks for multi-step-ahead forecasting, which is validated for different forecasting horizons, and is shown to work effectively. Finally, experiments based on three verification units from the city of Penglai in China are conducted effectively, illustrating that the proposed model not only has advantages when compared with benchmark models, but also has great potential for application to wind power system. (C) 2017 Elsevier Ltd. All rights reserved.

关键词： Optimal feature selection modified bat algorithm Artificial neural network Multi-step-ahead wind speed forecasting

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Test Scheduling and Test Time Minimization of System-on-Chip Using modified bat algorithm

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IEEE ACCESS 2022年 10卷 126199-126216页

作者： Chandrasekaran, Gokul Kumar, Neelam Sanjeev Karthikeyan, P. R. Vanchinathan, K. Priyadarshi, Neeraj Twala, Bhekisipho Velalar Coll Engn & Technol Dept Elect & Elect Engn Erode 638012 India SIMATS Saveetha Sch Engn Dept Biomed Engn Chennai 602105 India SIMATS Saveetha Sch Engn Dept Elect & Commun Engn Chennai 602105 India JIS Coll Engn Dept Elect Engn Kolkata 741235 India Tshwane Univ Technol Digital Transformat Portfolio ZA-0183 Pretoria South Africa

System-on-Chip (SoC) is a structure in which semiconductor components are integrated into a single die. As a result, testing time should be reduced to achieve a low cost for each chip. Effective test scheduling can reduce the SoC testing time, which is more challenging due to its complexity. In this paper, the modified bat algorithm-based test scheduling is proposed. Testing is carried out on the SoC ITC'02 benchmark circuits. The modified bat method is a recently heuristic algorithm that performs global optimization by imitating bat echolocation. Compared to other state-of-the-art algorithms, the modified bat Optimization method reduces testing time on SoCs. This paper improves the algorithm's exploration process by adjusting the equation for bat loudness (A(0)) and pulse emission rate (r). The modified bat algorithm converges to the optimal solution faster. It has been used in 14 international standard test functions. The test results indicate that the modified bat algorithm has a fast convergence speed, which minimizes the testing time compared to other evolutionary algorithms on the ITC'02 SoC benchmark circuits.

关键词： Optimization Benchmark testing Convergence Scheduling Genetic algorithms Heuristic algorithms System-on-chip Test time system-on-chip modified bat algorithm bat algorithm test scheduling

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Multistage Condition Monitoring of batch Process Based on Multi-boundary Hypersphere SVDD with modified bat algorithm

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ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING 2021年第2期46卷 1647-1661页

作者： Zhang, Min Yi, Yuan Cheng, Wenming Southwest Jiaotong Univ Sch Mech Engn Chengdu 61003 Peoples R China Technol & Equipment Rail Transit Operat & Mainten Chengdu 610031 Peoples R China

Multistage characteristic has become one of the essential issues of batch process and several stage division approaches have been introduced to monitor the process. As the non-Gaussian and nonlinear problems of batch process, a hybrid intelligent method is developed to monitor the multistage conditions in this paper. The proposed algorithm includes converged stage division (CSD), multi-boundary hypersphere support vector data description (MH-SVDD), and modified bat algorithm (MBA). CSD algorithm is utilized to process the data and make the stage division, which consists of data length processing, three-dimension unfolding, and K-means clustering. MH-SVDD algorithm is to construct two hyperspheres, which can overcome the deficiency of traditional boundary SVDD. The Gaussian kernel function width parameter of MH-SVDD plays a very significant role in multistage fault monitoring, a modified bat algorithm is established to select the optimal parameter. The experimental of the semiconductor etching process is described, and the results demonstrate that the proposed model can gain higher fault monitoring accuracy in multistage condition monitoring of the batch process.

关键词： Semiconductor etching process Support vector data description Multi-boundary hypersphere modified bat algorithm

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Integration of Solar and Wind Based DGs with DSTATCOM in Distribution Systems using modified bat algorithm

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GAZI UNIVERSITY JOURNAL OF SCIENCE 2019年第3期32卷 895-912页

作者： Pottukkannan, Balamurugan Thangaraj, Yuvaraj Kaliyaperumal, Devabalaji Abdul Rasheed, Mohamed Imran Petha Perumal, Muthukannan Saveetha Sch Engn Saveetha Inst Med & Tech Sci Dept Elect & Elect Engn Chennai Tamil Nadu India Hindustan Inst Technol & Sci Dept Elect & Elect Engn Chennai Tamil Nadu India Vellore Inst Technol Dept Elect & Elect Engn Chennai Tamil Nadu India

Nowadays, renewable energy sources based distributed generations (REDGs) interconnection with distribution system is gaining more attention by the power system engineers since it meets increasing load demand and cancel out environmental threats. Suitable incorporation of REDGs in radial distribution system (RDS) is vital in ensuring qualitative network operational profits. In this present approach a modified bat algorithm (MBA) based optimization method is employed to allocate solar and wind DGs along with DSTATCOM in RDS. The proposed new multi objective function to mitigate power loss, bus voltage development stability betterment and Total Operating Cost (TOC) minimization. Proper modelling of solar irradiance and wind speed have been done in the RDS. The present approach is tested to Indian countrified system structure and standard IEEE 69-bus system, and received satisfactory outputs.

关键词： REDGs DSTATCOM Radial Distribution System modified bat algorithm

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A novel modified bat algorithm to improve the spatial geothermal mapping using discrete geodata in Catalonia-Spain

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MODELING EARTH SYSTEMS AND ENVIRONMENT 2024年第3期10卷 4415-4428页

作者： Lialestani, Seyed Poorya Mirfallah Parcerisa, David Himi, Mahjoub Shahri, Abbas Abbaszadeh Univ Politecn Cataluna Dept Min Ind & ICT Engn Manresa Spain Univ Barcelona Dept Mineral Petrol & Appl Geol Barcelona Spain Bircham Int Univ Dept Engn & Technol Madrid Spain

Metaheuristic algorithms due to flexibility can be applied to a wide range of complex engineering optimization problems. The effectiveness, efficiency, and adaptability of such algorithms can significantly be enhanced through the modified variants. In this paper a novel modified bat algorithm (MoBA) using the concept of expectation value is proposed and evaluated using different benchmark functions, and then compared and ranked among other previously improved variants. Subsequently, the proposed MoBA was hybridized with a pretrained multitask adaptive deep learning model to generate 3D spatial subsurface mapping of geothermal temperatures in Catalonia, Spain. The success, effectiveness and superiority of the presented MoBA in compare with previously modified firefly algorithm was confirmed using different accuracy performance criteria by at least 1.71% improvement.

关键词： modified bat algorithm 3D spatial map Geothermal Catalonia

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