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12th IEEE International Conference on Programming and Systems (ISPS)

作者： Bouaziz, Amira Draa, Amer Chikhi, Salim Univ Constantine 2 MISC Lab Constantine Algeria

ISBN: (纸本)9781479977000

Fingerprint biometric systems performance is affected by the quality of fingerprint images. To overtake the low quality fingerprint images as well as overmaster the traditional image enhancers, the paper proposes a bat algorithm for gray scale fingerprint image contrast enhancement. The purpose is for the bat algorithm to map the gray level distributions for contrast enhancement ends. To assess the approach, the enhancement process is evaluated on low quality images from the FVC 2000 and compared to one of the traditional related-work contrast-based enhancers. The results show that the proposed bat algorithm has proven to qualitatively and numerically improve the fingerprint image quality through contrast manipulation on the general level of noise eradication and quality metrics in addition to ridge structure clarification and minutiae detection specificities.

关键词： component fingerprint recognition fingerprint image contrast enhancement bat algorithm gray level mapping

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A discrete binary version of bat algorithm for multidimensional knapsack problem

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INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION 2014年第2期6卷 140-152页

作者： Sabba, Sara Chikhi, Salim Constantine Univ 2 Fac Engn Sci Dept Comp Sci Constantine 25017 Algeria

The nature has become a main inspiration source of scientists for developing new intelligent systems and techniques. Nature-inspired meta-heuristics is a kind of algorithms that imitate the social behaviour of some biological species. The bat algorithm (BA) is a new bio-inspired algorithm recently introduced by Yang (2010a). It is an optimisation method that is based on the echolocation behaviour of microbats. Firstly, the BA has been proposed for continuous problems. In this paper, we propose a discrete binary bat algorithm (BinBA) for solving the optimisation problems in binary space. The proposed algorithm is based on the sigmoid function used by Kennedy and Eberhart in 1997 for their binary particle swarm optimisation algorithm. The BinBA was tested on hard instances of the multidimensional knapsack problem. The obtained results are very promising compared to other bio-inspired algorithms.

关键词： discrete optimisation problem bio-inspired algorithm bat algorithm binary bat algorithm multidimensional knapsack problem MKP

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DSTATCOM allocation in distribution networks considering load variations using bat algorithm

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AIN SHAMS ENGINEERING JOURNAL 2017年第3期8卷 391-403页

作者： Yuvaraj, T. Ravi, K. Devabalaji, K. R. VIT Univ Sch Elect Engn Vellore Tamil Nadu India

This paper proposes a new method of scheduling for optimal placement and sizing of Distribution STATic COMpensator in the radial distribution networks to minimize the power loss. In the proposed method Voltage Stability Index is used to search the optimal placement for installation of DSTATCOM. Optimal size of DSTATCOM is found by using bat algorithm. The feeder loads are varied by linearly from light load to peak load with a step size of 1%. In each load step, the optimal placement and sizing for DSTATCOM are calculated. By using the Curve Fitting Technique, the optimal sizing for DSTATCOM per load level is formulated in the form of generalized equation. The proposed approach will help the Distribution Network Operators to select the DSTATCOM size according to the load changes. To check the feasibility of the proposed method, system has been tested on two standard buses such as IEEE 33 and 69 bus radial distribution systems. (C) 2015 Ain Shams University. Production and hosting by Elsevier B.V.

关键词： Distribution STATic COMpensator (DSTATCOM) bat algorithm Voltage Stability Index (VSI) Distribution Network Operators (DNOs) Curve Fitting Technique (CFT)

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Iterative sequential bat algorithm for free-form rational Bezier surface reconstruction

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INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION 2018年第1期11卷 1-15页

作者： Iglesias, Andres Galvez, Akemi Collantes, Marta Toho Univ Fac Sci Dept Informat Sci 2-2-1 Miyama Funabashi Chiba 2748510 Japan Univ Cantabria Dept Appl Math & Computat Sci ETSI Caminos Canales & Puertos Avda Castros S-N E-39005 Santander Spain

Surface reconstruction is an important issue in many areas: CAD/CAM (reverse engineering for automotive, aerospace and shipbuilding industries), rapid prototyping, biomedical engineering (customised prosthesis, medical implants), medical imaging (computer tomography, magnetic resonance), and others. A classical approach in the field is to consider free-form polynomial surfaces. However, the polynomial scheme cannot replicate many shapes such as the quadrics. In this paper, we overcome this limitation by using rational Bezier surfaces. This rational case is more complicated than the polynomial one, leading to a difficult over-determined nonlinear continuous optimisation problem. Our approach is based on a powerful bio-inspired technique called bat algorithm, sequentially applied in our method to compute the data parameters and weights. This process is performed iteratively with the output of each bat algorithm as the input of the next one, and so on. Then, the poles are computed by SVD least squares approximation. Our method has been applied to three illustrative examples with remarkable results. It can recover the underlying shape of complicated surfaces with good accuracy for data points affected by measurement noise and irregular sampling. Comparative work with common approaches in the field shows that our method outperforms them for all instances in this paper.

关键词： surface reconstruction free-form shapes rational Bezier surface reverse engineering bat algorithm

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Online model parameter identification for supercapacitor based on weighting bat algorithm

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AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS 2018年 87卷 113-118页

作者： Sun, Geng Liu, Yanheng Chai, Ruizhi Mei, Fang Zhang, Ying Jilin Univ Coll Comp Sci & Technol Changchun 130012 Jilin Peoples R China Jilin Univ Minist Educ Key Lab Symbol Computat & Knowledge Engn Changchun 130012 Jilin Peoples R China Georgia Inst Technol Sch Elect & Comp Engn Atlanta GA 30332 USA

To support real-time power management of the supercapacitor-powered embedded systems, an online model parameter identification method is proposed for predicting the supercapacitor behavior. In the proposed method, an optimization problem is formulated based on our previously developed supercapacitor model, and a weighting bat algorithm (WBA) with the weighting solution update method is proposed for solving this problem in each model parameter updating time window. Simulation and experimental results show that the proposed online model parameter identification method can accurately capture the terminal behavior of a supercapacitor, and the proposed WBA-based optimization method has better performance for the supercapacitor model parameter identification compared with other benchmark algorithms.

关键词： Supercapacitor Real-time power management bat algorithm Parameter identification

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A novel upgraded bat algorithm based on cuckoo search and Sugeno inertia weight for large scale and constrained engineering design optimization problems

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ENGINEERING WITH COMPUTERS 2022年第2期38卷 1731-1758页

作者： Pathak, Vimal Kumar Srivastava, Ashish Kumar Manipal Univ Jaipur Dept Mech Engn Jaipur 303007 Rajasthan India

The bat algorithm (BA) is one of prominent swarm-based algorithm that has the suitability in solving only small dimension engineering problems and suffers from drawback of getting trapped in local minimum with slow convergence for multi-dimensional problems. In the context of improving its applicability in solving large scale and constrained engineering design problems, this paper presents a novel upgraded bat algorithm with cuckoo search and Sugeno inertia weight (UBCSIW). In the proposed UBCSIW algorithm, first, the bat algorithm with its competence to exploit the optimal solutions in search space is combined with cuckoo search with its ability to explore best solution globally using Levy flight in the search space. Secondly, a new velocity and position search equation is incorporated in which the bat searches around the best candidate solution. This step helps in establishing adequate balance between exploration and exploitation capability and improving the performance effectively by employing greedy selection to choose the best candidate solution. Finally, Sugeno fuzzy inertia weight is introduced in the velocity updation equation, boosting the flexibility and diversity of bat population and results in stability of results. The effectiveness of the proposed UBCSIW algorithm is tested on 16 standard benchmark functions (unimodal and multimodal) with different dimensions, 12 CEC2015 test functions and 7 well-known constrained engineering design problems. The outputs of the proposed UBCSIW algorithm are validated by comparison with classical BA and other swarm-based state-of-the art algorithms. The simulation results show that proposed UBCSIW algorithm achieves highly competitive results in terms of higher optimization accuracy and improved convergence that outperforms basic BA in all twenty-eight test functions while performs better than other competitive algorithms in 24 functions (13 benchmark and 11 CEC2015 functions).

关键词： bat algorithm Swarm-based algorithms Constrained optimization Large scale problems

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Wind integrated power system to reduce emission: An application of bat algorithm

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JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2022年第2期42卷 1041-1049页

作者： Rao, B. Venkateswara Devarapalli, Ramesh Malik, Hasmat Bali, Sravana Kumar Garcia Marquez, Fausto Pedro Chiranjeevi, Tirumalasetty VR Siddhartha Engn Coll Dept EEE Vijayawada India BIT Sindri Dept EE Dhanbad Jharkhand India IIT ISM Dept EE Dhanbad Jharkhand India BEARS NUS Campus Singapore University Town Singapore GITAM Deemed Univ Dept EEE Visakhapatnam Andhra Pradesh India Univ Castilla La Mancha Ingenium Res Grp Ciudad Real Spain Rajkiya Engn Coll Sonbhadra Dept EE Churk Uttar Pradesh India

The trend of increasing demand creates a gap between generation and load in the field of electrical power systems. This is one of the significant problems for the science, where it require to add new generating units or use of novel automation technology for the better utilization of the existing generating units. The automation technology highly recommends the use of speedy and effective algorithms in optimal parameter adjustment for the system components. So newly developed nature inspired bat algorithm (BA) applied to discover the control parameters. In this scenario, this paper considers the minimization of real power generation cost with emission as an objective. Further, to improve the power system performance and reduction in the emission, two of the thermal plants were replaced with wind power plants. In addition, to boost the voltage profile, Static VAR Compensator (SVC) has been integrated. The proposed case study, i.e., considering wind plant and SVC with BA, is applied on the IEEE30 bus system. Due to the incorporation of wind plants into the system, the emission output is reduced, and with the application of SVC voltage profile improved.

关键词： bat algorithm emission optimal power flow SVC wind power

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Multilayer embedded bat algorithm for B-spline curve reconstruction

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INTEGRATED COMPUTER-AIDED ENGINEERING 2017年第4期24卷 385-399页

作者： Iglesias, Andres Galvez, Akemi Collantes, Marta Toho Univ Fac Sci Dept Informat Sci Narashino Campus2-2-1 Miyama Funabashi Chiba 2748510 Japan Univ Cantabria Dept Appl Math & Computat Sci Santander Spain

This paper presents a new method called multilayer embedded bat algorithm (ME-bat) to solve the general curve reconstruction problem with free-form parametric B-splines. Opposed to previous approaches in the literature, this method computes the optimal values of all free variables (data parameters, breakpoints, and poles), a very difficult task because they are strongly intertwined in a highly nonlinear way. The method is based on the idea of applying the bat algorithm at different layers: a main bat algorithm at an upper layer to compute the breakpoints and a second bat algorithm at a lower layer to compute the data parameters. This second bat algorithm is embedded into the first one and executed for each breakpoint vector of the population and at each iteration step of the main algorithm. Then, the poles are calculated by least-squares minimization through SVD. The method has been applied to three real-world engineering examples. The experimental results show that the method performs very well, being able to recover the underlying shape of data with high accuracy. A comparison with eleven alternative methods (including six classical methods in the field and all the metaheuristic methods applied so far to this problem) shows that this method outperforms the previous approaches in the field for all instances in the benchmark.

关键词： CAD/CAM reverse engineering curve reconstruction B-spline curves bio-inspired computation bat algorithm

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Source parameters estimation from gravity data using bat algorithm with application to geothermal and volcanic activity studies

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INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY 2023年第4期20卷 4167-4187页

作者： Essa, K. S. Diab, Z. E. Cairo Univ Fac Sci Dept Geophys Giza 12613 Egypt

Recently gravity data modeling plays an important role in the study of volcanic activity and geothermal investigation. Generally, gravity data modeling assumes the subsurface either homogenous or spatially variable densities within modeled source rocks and surrounding sediments. As a result, the subsurface geothermal and volcanic goals and targets are included and validated using simple-geometric sources in gravity data modeling. The bat algorithm, which is considered one of the most recently, developed metaheuristic algorithms in geophysics applications, permits to discovery and delineation of the source's parameters. Here, we presented the contribution of the bat algorithm technique in elucidating 2D gravity profiles for geothermal exploration and volcanic activity cases. The bat algorithm is based on the echo-location behavior of bats to perform global optimization. The bat optimization algorithm is applied to 2D gravity data to estimate the source's parameters such as depth, origin location, amplitude factor, and geometric shape of the causative buried body. The stability and efficiency of the introduced optimizing algorithm were checked to different synthetic cases, i.e., for model 1, which represents a horizontal cylinder model, and model 2 represents a multi-sources effect. Furthermore, the successful applications of the proposed algorithm for discovering the geothermal and volcanic activities in Japan and India were have presented. The obtained results are in good agreement with the available geological, geophysical, and borehole information.

关键词： bat algorithm Geothermal investigation Gravity anomaly Source depth Volcanic activity

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A new Kriging-bat algorithm for solving computationally expensive black-box global optimization problems

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ENGINEERING OPTIMIZATION 2019年第2期51卷 265-285页

作者： Saad, Abdulbaset Dong, Zuomin Buckham, Brad Crawford, Curran Younis, Adel Karimi, Meysam Univ Victoria Mech Engn Dept Victoria BC Canada Australian Coll Kuwait Mech Engn Dept Kuwait Kuwait

Many global optimization (GO) algorithms have been introduced in recent decades to deal with the Computationally Expensive Black-Box (CEBB) optimization problems. The high number of objective function evaluations, required by conventional GO methods, is prohibitive or at least inconvenient for practical design applications. In this work, a new Kriging-bat algorithm (K-BA) is introduced for solving CEBB problems with further improved search efficiency and robustness. A Kriging surrogate model (SM) is integrated with the bat algorithm (BA) to find the global optimum using substantially reduced number of evaluations of the computationally expensive objective function. The new K-BA algorithm is tested and compared with other well-known GO algorithms, using a set of standard benchmark problems with 2 to 16 design variables, as well as a real-life engineering optimization application, to determine its search capability, efficiency and robustness. Results of the comprehensive tests demonstrated the suitability and superior capability of the new K-BA.

关键词： Global optimization bat algorithm Kriging model computation expensive black-box problems

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