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An empirical study of test effort estimation based on bat algorithm

INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION 2014年第1期6卷 57-70页

作者： Srivastava, Praveen Ranjan Bidwai, Amit Khan, Anam Rathore, Kritika Sharma, Rohit Yang, Xin She Indian Inst Management Informat Technol & Syst Grp Rohtak Haryana India BITS Pilani Dept Comp Sci Pilani Rajasthan India Middlesex Univ Sch Sci & Technol London NW4 4BT England

The process of actually predicting efforts for software testing phase is a complex task. There are many factors affect test effort estimation, including productivity of the test team, strategy chosen for testing, size and complexity of the system, technical factors, expected quality and others. Several studies have been done for developing test effort estimation models but to some extent, most of these models result in erroneous effort estimation. Thus, there is a strong need to optimise the test effort estimation. In this paper, we proposed a model using the meta-heuristic bat algorithm to estimate the test effort. The proposed model is then used to optimise the effort by iteratively improving the solutions. Results show that our estimations is closer to the actual efforts and is thus more accurate than other methods.

关键词： test effort estimation bat algorithm BA test point analysis TPA use case points UCP

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Design and optimization of concurrent tolerance in mechanical assemblies using bat algorithm

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JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY 2016年第6期30卷 2601-2614页

作者： Kumar, L. Ramesh Padmanaban, K. P. Kumar, S. Ganesh Balamurugan, C. Christian Coll Engn & Technol Dept Mech Engn Oddanchatram Tamil Nadu India Kurunji Coll Engn & Technol Dapt Mech Engn Tiruchirappalli Tamil Nadu India SSM Inst Engn & Technol Dept Mech Engn Dindigul Tamil Nadu India Anna Univ Chennai Coll Engn & Technol Dapt Mech Engn Guindy Tamil Nadu India

Concurrent designing of tolerance has become a vital concern in product and process development due to the relationship between quality, functionality and product cost. It is one of the well explored areas in combinatorial optimization. In this paper, a recently developed optimization algorithm, called bat algorithm (BA), is used for optimizing the tolerance based on concurrent objectives to minimize the manufacturing cost, present worth of expected quality loss and quality loss. The mechanical assemblies such as Bevel gear assembly (A), Gear box assembly (B) and Suction union assembly (C) are considered to demonstrate the proposed algorithm. It is found that the BA has produced better results than other methods in initial generations for concurrent tolerance problems.

关键词： Tolerance design Mechanical assemblies Optimization bat algorithm

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A Hybrid Discrete bat algorithm with Krill Herd-based advanced planning and scheduling tool for the capital goods industry

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INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 2019年第21期57卷 6705-6726页

作者： Chansombat, Sirikarn Musikapun, Ponnapa Pongcharoen, Pupong Hicks, Christian Naresuan Univ Fac Engn CORIA Phitsanulok Thailand Naresuan Univ Sch Logist & Supply Chain Phitsanulok Thailand Newcastle Univ Business Sch Newcastle Upon Tyne Tyne & Wear England

Capital goods companies produce high value products such as power plant or ships, which have deep and complex product structures, with components having long process routings. Contracts usually include substantial penalties for late delivery. The high value of items can lead to substantial holding costs. Efficient schedules minimise earliness and tardiness costs and need to satisfy assembly and operation precedence constraints as well as finite capacity. This paper presents the first advanced planning and scheduling (APS) tool for the capital goods industry that uses a Discrete bat algorithm (DBA), modified DBA (MDBA) and hybrid DBA with Krill Herd algorithm (HDBK) to optimise schedules. The tool was validated using four data-sets obtained from a collaborating capital goods company. A sequential experimental strategy was adopted. The first experiment identified appropriate parameter settings for the DBA. The second experiment evaluated and compared the performance of the proposed HDBK algorithm with an Artificial Bee Colony, Krill Herd (KH), Modified KH, DBA and MDBA metaheuristics. The experimental results revealed that the HDBK performed best in terms of the minimum penalty cost for all problem sizes and achieved up to a 47.837% reduction in mean total penalty costs of extra-large problem size.

关键词： Advanced planning and scheduling Capital goods bat algorithm Krill Herd Artificial Bee Colony

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bat algorithm with Parameter Adaptation using Interval Type-2 Fuzzy Logic for Benchmark Mathematical Functions 8

Bat Algorithm with Parameter Adaptation using Interval Type-...

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8th IEEE International Conference on Intelligent Systems (IS)

作者： Perez, Jonathan Valdez, Fevrier Castillo, Oscar Roeva, Olympia Tijuana Inst Technol Tijuana Mexico Bulgarian Acad Sci Inst Biophys & Biomed Engn Acad G Bonchev StrBlock 105 BU-1113 Sofia Bulgaria

ISBN: (纸本)9781509013531

In this paper we propose a new method for dynamic parameter adaptation in the bat algorithm (BA). BA is a metaheuristic algorithm inspired by the behavior of micro bats, which has been applied to different optimization problems obtaining good results. In this paper we propose dynamic parameter adaptation of the BA using Interval Type-2 fuzzy logic. Simulation results show that the proposed method using Type-2 fuzzy logic is better in comparison with Type-1 fuzzy logic.

关键词： bat algorithm Type-1 fuzzy logic Type-2 fuzzy logic

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Discrete Binary Adaptive bat algorithm for RNA Secondary Structure Prediction

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JOURNAL OF COMPUTATIONAL AND THEORETICAL NANOSCIENCE 2015年第2期12卷 335-339页

作者： Cai, Xingjuan Li, Wuzhao Kang, Qi Wang, Lei Wu, Qidi Tongji Univ Dept Control Sci & Engn Shanghai 201804 Peoples R China Taiyuan Univ Sci & Technol Complex Syst & Computat Intelligence Lab Taiyuan 030024 Shanxi Peoples R China Jiaxing Vocat Tech Coll Dept Elect & Mech Engn Jiaxing 314036 Peoples R China

RNA secondary structure is one important problem in bioinformatics. In this paper, one discrete binary adaptive bat algorithm is designed to solve it. In the standard version, pulse rate is exponential increased significantly, and then, pulse rate keeps a constant in most generations, this may result a fix selection pressure. To provide a large selection pressure, a linearly dynamic pulse rate selection strategy is designed. Furthermore, due to the special requirements of RNA secondary structure problem, Sigmoid function is also employed to determine the binary-value of each feature. Ten sequences from the comparative RNA website were selected for the evaluation of the proposed method. Simulation results show adaptive bat algorithm is better than Mfold.

关键词： RNA Secondary Structure Minimum Free Energy bat algorithm

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Smartphone based indoor localization and tracking model using bat algorithm and Kalman filter

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MULTIMEDIA TOOLS AND APPLICATIONS 2021年第10期80卷 15377-15390页

作者： Gobi, R. Christ Univ Bangalore Karnataka India

In recent days, accurate localization becomes essential for enabling smartphone-based navigation to attain maximum accuracy in the construction of the real ***-based localization is the widespread solution to achieve and assure effective performance. In this study, a new fingerprint-based localization model using a bat algorithm (BA) is presented stimulated by the echolocation nature of microbats. The presented model adapts BA for estimating the location information. Initially, the presented model applies a Bayesian-rule based objective function. Then, the BA is used for improving the accuracy and analyzing the effects of the initial position of the bats on the localization outcome. For mitigating the estimation error, the Kalman filter is employed for updating the initially determined position using the BA for tracking purposes. The experimental analysis indicated an improvement in real-time performance and decrease in computation complexity. The presented model also obtained maximum localization accuracy with minimum localization error over the compared methods.

关键词： Localization Kalman filter bat algorithm Fingerprint

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M-Type and CD-Type Carrier Based PWM Methods and bat algorithm-Based SHE and SHM for Compact Nine-Level Switched Capacitor Inverter

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IEEE ACCESS 2021年 9卷 87731-87748页

作者： Khan, Shahbaz Ahmad Upadhyay, Deepak Ali, Mohammad Tariq, Mohd Sarwar, Adil Chakrabortty, Ripon K. Ryan, Michael J. Alamri, Basem Alahmadi, Ahmad Aligarh Muslim Univ Zakir Husain Coll Engn & Technol Dept Elect Engn Aligarh 202002 Uttar Pradesh India Univ New South Wales Canberra ADFA Sch Engn & Informat Technol Capabil Syst Ctr Canberra BC 2612 Australia Taif Univ Coll Engn Dept Elect Engn At Taif 21944 Saudi Arabia

This paper presents new and efficient modulation techniques applied on the recently introduced compact nine-level switched-capacitor inverter (C9LSCI). The paper also discusses the performance of the inverter under selective harmonic elimination (SHE) and mitigation (SHM) based on the heuristic bat-algorithm (BA) technique. Two new modulation techniques employing CD-type carrier waves and M-type carrier waves are proposed, showing a rise in efficiency, an increase in RMS voltage, reduction in capacitor voltage ripple, and a reduction in harmonic distortion (THD). Four recently introduced modulating signals, namely the third harmonic injection, thirty-degree bus clamped PWM (THTDBCPWM), third harmonic injection sixty-degree bus clamped PWM (THSDBCPWM), one pole clamped PWM (OPCPWM). Loss balancing two-pole clamped PWM (LBTPCPWM) are applied to the inverter with the proposed carriers, and a comparative analysis is carried out on different performance parameters. The proposed carriers' efficacy in Alternate Phase Opposition Disposition (APOD), Phase Opposition Disposition (POD), and Phase Disposition (PD) is validated. Further, bat algorithm (BA) is applied as a heuristic approach to determine the optimum angles for the application of SHE and SHM. The efficacy of all the above techniques on the C9LSCI is verified in MATLAB/Simulink environment and further validated on an experimental setup.

关键词： Pulse width modulation Inverters Harmonic analysis Modulation Capacitors Clamps Topology Sine PWM M-carrier CD-carrier SHE SHM bat algorithm switched capacitor inverter

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Echo Location Based bat algorithm for Energy Efficient WSN Routing

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Computers, Materials & Continua 2022年第6期71卷 6351-6364页

作者： Anwer Mustafa Hilal Siwar Ben Haj Hassine Jaber S.Alzahrani Masoud Alajmi Fahd N.Al-Wesabi Mesfer Al Duhayyim Ishfaq Yaseen Abdelwahed Motwakel Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Computer Science College of Science and ArtsKing Khalid UniversityMahayil AsirSaudi Arabia Department of Industrial Engineering College of Engineering at AlqunfudahUmm Al-Qura UniversitySaudi Arabia Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Faculty of Computer and IT Sana’a UniversitySana’aYemen Department of Natural and Applied Sciences College of Community-AflajPrince Sattam bin Abdulaziz UniversitySaudi Arabia

Due to the wide range of applications,Wireless Sensor Networks(WSN)are increased in day to day life and becomes *** has marked its importance in both practical and research *** is the most significant resource,the important challenge in WSN is to extend its *** energy reduction is a key to extend the network’s *** of sensor nodes is one of the well-known and proved methods for achieving scalable and energy conserving *** this paper,an energy efficient protocol is proposed using metaheuristic Echo location-based bat algorithm(ECHO-bat).ECHO-bat works in two *** Stage clusters the sensor nodes and identifies tentativeCluster Head(CH)along with the entropy value using bat *** second stage aims to find the nodes if any,with high residual energy within each *** will be replaced by the member node with high residual energy with an objective to choose the CH with high energy to prolong the network’s *** performance of the proposed work is compared with Low-Energy Adaptive Clustering Hierarchy(LEACH),Power-Efficient Zoning Clustering algorithm(PEZCA)and Chaotic Firefly algorithm CH(CFACH)in terms of lifetime of network,death of first nodes,death of 125th node,death of the last node,network throughput and execution *** results show that ECHO-bat outperforms the other methods in all the considered *** overall delivery ratio has also significantly optimized and improved by approximately 8%,proving the proposed approach to be an energy efficient WSN.

关键词： Wireless sensor networks bat algorithm energy efficient clustering cluster head energy consumption

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A comparative study of cuckoo search and bat algorithm for Bloom filter optimisation in spam filtering

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INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION 2012年第2期4卷 89-99页

作者： Natarajan, Arulanand Subramanian, S. Premalatha, K. Anna Univ Technol Coimbatore Coimbatore 641047 Tamil Nadu India Sri Krishna Coll Engn & Technol Coimbatore 641008 Tamil Nadu India Bannari Amman Inst Technol Dept Comp Sci & Engn Erode Dt 638401 Tamil Nadu India

Bloom filter (BF) is a simple but powerful data structure that can check membership to a static set. The trade-off to use Bloom filter is a certain configurable risk of false positives. The odds of a false positive can be made very low if the hash bitmap is sufficiently large. Spam is an irrelevant or inappropriate message sent on the internet to a large number of newsgroups or users. A spam word is a list of well-known words that often appear in spam mails. The proposed system of bin Bloom filter (BBF) groups the words into number of bins with different false positive rates based on the weights of the spam words. Cuckoo search (CS) and bat algorithm are bio-inspired algorithms that imitate the way cuckoo breeding and microbat foraging behaviours respectively. This paper demonstrates the CS and bat algorithm for minimising the total membership invalidation cost of the BBFs by finding the optimal false positive rates and number of elements stored in every bin. The experimental results demonstrate the application of CS and bat algorithm for various numbers of bins and strings.

关键词： bat algorithm bin Bloom filter BBF Bloom filter BF cuckoo search CS false positive rate hash function spam word

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Experimental Validation of LQR Weight Optimization Using bat algorithm Applied to Vibration Control of Vehicle Suspension System

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IETE JOURNAL OF RESEARCH 2023年第11期69卷 8142-8152页

作者： Yuvapriya, T. Lakshmi, P. Elumalai, Vinodh Kumar Anna Univ Dept EEE Coll Engn Chennai 600025 Tamil Nadu India Vellore Inst Technol Sch Elect Engn Vellore 632014 Tamil Nadu India

To deal with multiple constraints of vehicle active suspension system (ASS) including road handling and passenger safety, this paper presents an optimal linear quadratic regulator (LQR) approach which employs bat algorithm (BA) for selection of optimal state and input penalty matrices of LQR. We formulate the conflicting control objectives of ASS, namely, ride comfort and passenger safety as a multi-constraint optimization problem and employ the BA for weight selection of LQR. The key advantage of the proposed approach is that the local optima problem is avoided by utilizing the frequency tuning and random walk technique in BA. The performance of the proposed approach is experimentally tested using hardware in loop (HIL) testing on a quarter car ASS for realistic road profiles. Moreover, the performance is benchmarked against grey wolf optimization tuned LQR. Experimental results assessed based on ISO 2631 standards highlight the significant improvement in the ride comfort and passenger safety.

关键词： Active suspension system LQR bat algorithm HIL testing disturbance rejection

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