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International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS)

作者： Singh, Deepika Salgotra, Rohit Singh, Urvinder Thapar Univ Dept Elect & Commun Patiala Punjab India

ISBN: (纸本)9781509032945

bat algorithm (BA) is a recently introduced Meta heuristic algorithm which mimics the echolocation behavior of micro-bats. In this paper, modified bat algorithm (MBA) is presented whose focus is to increase the exploration capability of BA and improve its consistency in finding global optima. The proposed version is tested on standard benchmark problems and is compared with standard state-of-art algorithms. Experimental results show that MBA is comparatively better than BA, flower pollination algorithm (FPA), differential evolution (DE) and bat flower pollinator (BFP).

关键词： bat algorithm differential evolution flower pollination algorithm modified bat algorithm benchmark problems optimization algorithms

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Multi-Objective Reactive Power Dispatch in Distribution Networks using modified bat algorithm

Multi-Objective Reactive Power Dispatch in Distribution Netw...

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IEEE Green Energy and Systems Conference

作者： Latif, Aadil Ahmad, Ishtiaq Palensky, Peter Gawlik, Wolfgang AIT Dept Energy Vienna Austria Delft Univ Technol Elect Engn Math & Comp Sci Delft Netherlands TU Wien Inst Energy Syst & Elect Drives Vienna Austria

ISBN: (纸本)9781509022946

Integration of distributed generation in power system challenges operation and management of power distribution network. This paper presents modified bat algorithm for Optimal Reactive Power Dispatch (OPRF) of distributed generation for voltage support in distribution network. An objective function with constraints of voltage, DG reactive power, thermal limits of lines is presented. A modified IEEE 37 node test feeder with variable generation was used to validate the proposed algorithm. A co-simulation setup was used in which electric grid was developed in Power system tool (DigSILENT PowerFactory) and modified bat algorithm was developed in Python. Results showed that modified bat algorithm is quite effective for voltage profile improvement and loss minimization

关键词： Distributed Generation Voltage Regulation modified bat algorithm Co-simulation

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Analyzing the effect of dynamic loads on economic dispatch in the presence of interline power flow controller using modified bat algorithm

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Journal of Electrical Systems and Information Technology 2016年第1期3卷 45-67页

作者： Y.N. Vijay Kumar Sirigiri Sivanagaraju Chintalapudi V. Suresh Department of Electrical and Electronics Engineering SVCET Chittoor A.P. India Department of Electrical and Electronics Engineering Vasireddy Venkatadri Institute of Technology Nambur Guntur A.P. India

Now a day, non-uniform increase of demand on a power system turns the research toward the dynamic analysis. In this paper, to perform dynamic analysis and to solve economic load dispatch problem using optimal power flow (OPF), four realistic load levels are considered. Further, the effectiveness of the objective has been enhanced in the presence of interline power flow controller (IPFC). An optimal location identification methodology for IPFC based on line stability index (LSI) is also presented. The effect of ramp-rate limits on generations and the effect of dynamic loads on generation fuel cost and transmission losses are also analyzed on standard IEEE-30 bus and real time 23 bus test systems with supporting validations, numerical and graphical results.

关键词： Interline power flow controller Power injection modeling modified bat algorithm Dynamic loads Economic dispatch problem

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TWO-DEGREE-OF-FREEDOM PIDA CONTROLLERS DESIGN OPTIMIZATION FOR LIQUID-LEVEL SYSTEM BY USING modified bat algorithm

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INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL 2020年第2期16卷 715-732页

作者： Lurang, Kittisak Puangdownreong, Deacha Southeast Asia Univ Dept Elect Engn 19-1 Petchkasem Rd Bangkok 10160 Thailand

In this paper, an optimal design of the two-degree-of-freedom proportional-integral-derivative-accelerated (2DOF-PIDA) controllers for the liquid-level system based on the modern optimization by using the modified bat algorithm (MBA) is proposed. The MBA is the new modified version of the original bat algorithm (BA) developed from the echolocation behaviour of micro bats. To improve its exploration and exploitation properties, the random number drawn from a Levy-flight distribution and new loudness and pulse emission rate functions are proposed. Performance of the MBA over the BA investigated against 10 benchmark functions is presented in this paper. Results of the 2DOF-PIDA controllers designed by the proposed MBA for the liquid-level system are compared with those of the one-degree-of-freedom proportional-integral-derivative (1DOF-PID) controller designed by Ziegler-Nichols (ZN) tuning rule, 2DOF-PID designed by Araki-Taguchi (AT) tuning rule and 1DOF-PID and 1DOF-PIDA controllers designed by the MBA. As results, it was found that the liquid-level controlled system with the 2DOF-PIDA controllers designed by the MBA can provide very satisfactory responses superior to that with the 2DOF-PID controllers designed by AT and MBA and 1DOF-PID controller designed by ZN, significantly.

关键词： 2DOF-PIDA controllers modified bat algorithm Liquid-level system Modern optimization

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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 modified directional bat algorithm for extensive inverse p-facility maxian location problems on networks

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SOFT COMPUTING 2022年第4期26卷 1941-1959页

作者： Mohammadi, Sepideh Alizadeh, Behrooz Baroughi, Fahimeh Afrashteh, Esmaeil Sahand Univ Technol Fac Basic Sci Dept Appl Math Tabriz Iran

This paper deals with an extensive variant of the inverse p-facility maxian location problem on networks in which the set of vertices is considered as the existing client points and the aim is to modify (augment or reduce) the underlying vertex weights and the arc lengths at the minimum overall cost with respect to the modification bounds so that a given set of p vertices, denoting the predetermined facility sites, becomes a p-facility maxian location of the perturbed network. A novel modified directional bat algorithm, as a meta-heuristic approach, is developed to solve the problem under the bottleneck-type Hamming, sum-type Hamming, rectilinear and Chebyshev cost norms. Through computational tests, the effectiveness of the proposed algorithm is shown.

关键词： Facility location problem Inverse optimization Nonlinear optimization modified bat algorithm Metaheuristics

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A modified bat Mechanism for Virtual Machine Migration in a Cloud Environment

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SN Computer Science 2025年第1期6卷 1-13页

作者： Archana Kumar, Narander Department of Computer Science Babasaheb Bhimrao Ambedkar University (A Central University) Vidya Vihar Raibareli Road Uttar Pradesh Lucknow 226025 India

In cloud computing, virtual machines (VMs) must be moved from one overloaded server to another to control impending resource requests and reduce the performance overhead. Hence, the main objective is to carry out the VM migration as effectively as possible by shortening the migration process, lowering the Makespan, and boosting the throughput of the VMs. Here, proposed a modified bat mechanism that addresses the aforementioned problems and completes the VM migration effectively. The fitness function calculation strategy of spider monkey optimization is added to the standard bat algorithm inside this proposed mechanism to improve each bat’s fitness calculation and provide more opportunities to determine the fittest move quickly. The best move enables VMs to connect with the closest PMs (physical machines) and complete migration promptly rather than being stuck. This proposed mechanism overcomes the issue of the standard bat algorithm that gets stuck in local optima due to inadequate exploration. The fitness function, migration time, makespan, and throughput performance metrics have been used to calculate the effectiveness of the proposed algorithm as compared to the Standard bat algorithm, PSO (particle swarm optimization), and CS (cuckoo search) algorithm by using the CloudSimPlus simulator. The migration time of the proposed mechanism is 25% faster than that of the standard bat algorithm, 27% more than PSO, and 35% more than the CS algorithm. It also outperforms other traditional algorithms in makespan, fitness, and throughput. © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2025.

关键词： Cloud environment Makespan Meta-heuristic algorithm Migration time modified bat algorithm Virtual machine migration

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Community Detection Using Meta-heuristic Approach: bat algorithm Variants 9

Community Detection Using Meta-heuristic Approach: Bat Algor...

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9th International Conference on Contemporary Computing (IC3)

作者： Sharma, Jigyasha Annappa, B. Natl Inst Technol Karnataka Dept Comp Sci & Engn Surathkal 575025 India

ISBN: (纸本)9781509032518

In the present world, it is hard to overlook - the omnipresence of 'network'. Be it the study of internet structure, mobile network, protein interactions or social networks, they all religiously emphasizes on network and graph studies. Social network analysis is an emerging field including community detection as its key task. A community in a network, depicts group of nodes in which density of links is high. To find the community structure modularity metric of social network has been used in different optimization approaches like greedy optimization, simulated annealing, extremal optimization, particle swarm optimization and genetic approach. In this paper we have not only introduced modularity metrics but also hamiltonian function (potts model) amalgamated with meta-heuristic optimization approaches of bat algorithm and Novel bat algorithm. By utilizing objective functions (modularity and hamiltonian) with modified discrete version of bat and Novel bat algorithm we have devised four new variants for community detection. The results obtained across four variants are compared with traditional approaches like Girvan and Newman, fast greedy modularity optimization, Reichardt and Bornholdt, Ronhovde and Nussinov, and spectral clustering. After analyzing the results, we have dwelled upon a promising outcome supporting the modified variants.

关键词： bat algorithm Novel bat algorithm modified bat algorithm community detection modularity hamiltonian function social network

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Efficient hybrid algorithm for transmission expansion planning

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ELECTRICAL ENGINEERING 2018年第4期100卷 2765-2777页

作者： De Oliveira, E. J. Moraes, C. A. Oliveira, L. W. Honorio, L. M. Poubel, R. P. B. Fed Univ Juiz de Fora UFJF Dept Elect Energy Juiz De Fora MG Brazil Fed Ctr Technol Educ Rio de Janeiro Dept Elect Engn Rio De Janeiro Brazil

This work presents an efficient hybrid algorithm (EHA) that consists of a search space reducer (SSR) and a modified bat-inspired algorithm (MBA) to solve the transmission network expansion planning (TNEP). The contribution of the proposal is to consider, at the same time, the security constraints criterion N-1', load scenarios and network losses to give a more comprehensive approach in an efficient manner, which allows applying the EHA to large-scale real system. Discrete variables in the TNEP are handled by the MBA, and an optimal power flow is used to evaluate the fitness function as well as planning options. By using the SSR to define the initial candidate set for the MBA, the solution search space is reduced improving the computational performance of the proposed MBA. To validate the proposed method and show its efficiency in comparison with others in the literature, tests are conducted on Garver and IEEE 24-bus test system, in addition to an equivalent Brazilian system.

关键词： Transmission expansion cost modified bat algorithm Search space reducer Security constraints "N-1' Load scenarios Network losses

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An innovative hybrid approach for multi-step ahead wind speed prediction

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APPLIED SOFT COMPUTING 2019年 78卷 296-309页

作者： Wang, Jujie Li, Yaning Nanjing Univ Informat Sci & Technol Collaborat Innovat Ctr Forecast & Evaluat Meteoro Sch Management Sci & Engn Nanjing 210044 Jiangsu Peoples R China Nanjing Univ Informat Sci & Technol Coll Math & Stat Nanjing 210044 Jiangsu Peoples R China

It is essential to enhance the ability of wind speed forecasting for wind farm managers. The contribution of this research is to develop a novel hybrid method for multi-step ahead wind speed forecasting including empirical wavelet transformation-Kullback-Leibler divergence, autoregressive fractionally integrated moving average and improved back-propagation neural network. The empirical wavelet transformation-Kullback-Leibler divergence is used to extract these valuable features of wind speed fluctuations. The autoregressive fractionally integrated moving average is utilized to extract the long memory characteristics and capture the linear fluctuations of wind speed. The improved back propagation neural network is established to capture the corresponding nonlinear fluctuations, its inputs and outputs are determined by phase space reconstruction and its weights and thresholds are optimized by a modified bat algorithm with cognition strategy. Three prediction cases are employed to test the developed model. The simulation results demonstrate that the developed model outperforms several common benchmark models. (C) 2019 Elsevier B.V. All rights reserved.

关键词： Wind speed prediction Empirical wavelet transformation-Kullback-Leibler divergence Long memory characteristics modified bat algorithm Hybrid model

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