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A Novel Variant of Moth Flame Optimizer for Higher Dimensional Optimization Problems

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Journal of Bionic Engineering 2023年第5期20卷 2389-2415页

作者： saroj kumar sahoo Sushmita Sharma Apu kumar Saha Department of Mathematics National Institute of Technology AgartalaJiraniaTripura799046India

Moth Flame Optimization(MFO)is a nature-inspired optimization algorithm,based on the principle of navigation technique of moth toward *** to less parameter and easy implementation,MFO is used in various field to solve optimization ***,for the complex higher dimensional problems,MFO is unable to make a good trade-off between global and local *** overcome these drawbacks of MFO,in this work,an enhanced MFO,namely WF-MFO,is introduced to solve higher dimensional optimization *** a more optimal balance between global and local search,the original MFO’s exploration ability is improved by an exploration operator,namely,Weibull flight *** addition,the local optimal solutions have been avoided and the convergence speed has been increased using a Fibonacci search process-based technique that improves the quality of the solutions ***-nine benchmark functions of varying complexity with 1000 and 2000 dimensions have been utilized to verify the projected *** popular algorithms and MFO versions have been compared to the achieved *** addition,the robustness of the proposed WF-MFO method has been evaluated using the Friedman rank test,the Wilcoxon rank test,and convergence *** to other methods,the proposed WF-MFO algorithm provides higher quality solutions and converges more quickly,as shown by the ***,the proposed WF-MFO has been used to the solution of two engineering design issues,with striking *** improved performance of the proposed WF-MFO algorithm for addressing larger dimensional optimization problems is guaranteed by analyses of numerical data,statistical tests,and convergence performance.

关键词： Moth Flame Optimization(MFO)algorithm Bio-inspired algorithm Fibonacci search method Weibull distribution Higher dimensional functions

mLBOA:A Modified Butterfly Optimization Algorithm with Lagrange Interpolation for Global Optimization

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Journal of Bionic Engineering 2022年第4期19卷 1161-1176页

作者： Sushmita Sharma Sanjoy Chakraborty Apu kumar Saha Sukanta Nama saroj kumar sahoo Department of Mathematics National Institute of Technology AgartalaAgartalaTripura 799046India Department of Computer Science and Engineering Iswar Chandra Vidyasagar CollegeBeloniaTripura 799155India Department of Computer Science and Engineering National Institute of Technology AgartalaAgartalaTripura 799046India Department of Applied Mathematics Maharaja Bir Bikram UniversityAgartalaTripura 799004India

Though the Butterfly Bptimization Algorithm(BOA)has already proved its effectiveness as a robust optimization algorithm,it has certain ***,a new variant of BOA,namely mLBOA,is proposed here to improve its *** proposed algorithm employs a self-adaptive parameter setting,Lagrange interpolation formula,and a new local search strategy embedded with Levy flight search to enhance its searching ability to make a better trade-off between exploration and ***,the fragrance generation scheme of BOA is modified,which leads for exploring the domain effectively for better *** evaluate the performance,it has been applied to solve the IEEE CEC 2017 benchmark *** results have been compared to that of six state-of-the-art algorithms and five BOA ***,various statistical tests,such as the Friedman rank test,Wilcoxon rank test,convergence analysis,and complexity analysis,have been conducted to justify the rank,significance,and complexity of the proposed ***,the mLBOA has been applied to solve three real-world engineering design *** all the analyses,it has been found that the proposed mLBOA is a competitive algorithm compared to other popular state-of-the-art algorithms and BOA variants.

关键词： Butterfly optimization algorithm Lagrange interpolation Levy flight search IEEE CEC 2017 functions Engineering design problems

Comparative Performance Analysis of Differential Evolution Variants on Engineering Design Problems

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Journal of Bionic Engineering 2022年第4期19卷 1140-1160页

作者： Sanjoy Chakraborty Apu kumar Saha Sushmita Sharma saroj kumar sahoo Gautam Pal Department of Computer Science and Engineering National Institute of Technology AgartalaAgartalaTripura 799046India Department of Computer Science and Engineering Iswar Chandra Vidyasagar CollegeBeloniaTripura 799155India Department of Mathematics National Institute of Technology AgartalaAgartalaTripura 799046India Department of Computer Science and Engineering Tripura Institute of TechnologyNarsingarhTripura 799015India

Because of their superior problem-solving ability,nature-inspired optimization algorithms are being regularly used in solving complex real-world optimization *** academics have recently focused on meta-heuristic algorithms to solve various optimization *** the state-of-the-art algorithms,Differential Evolution(DE)is one of the most successful algorithms and is frequently used to solve various industrial *** the previous 2 decades,DE has been heavily modified to improve its *** DE variations secured positions in IEEE CEC competitions,establishing their ***,to our knowledge,there has never been a comparison of performance across various CEC-winning DE versions,which could aid in determining which is the most *** this study,the performance of DE and its eight other IEEE CEC competition-winning variants are ***,the algorithms have evaluated IEEE CEC 2019 and 2020 bound-constrained functions,and the performances have been *** unconstrained problem from IEEE CEC 2011 problem suite and five other constrained mechanical engineering design problems,out of which four issues have been taken from IEEE CEC 2020 non-convex constrained optimization suite,have been solved to compare the *** analyses like Friedman's test and Wilcoxon's test are executed to verify the algorithm’s ability *** analysis exposes that none of the DE variants can solve all the problems *** of SHADE and ELSHADE-SPACMA are considerable among the methods used for comparison to solve such mechanical design problems.

关键词： Differential evolution Metaheuristics IEEE CEC Mechanical design problem

Recent developments in self-powered smart chemical sensors for wearable electronics

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Nano Research 2021年第11期14卷 3669-3689页

作者： Aaryashree Surjit sahoo Pravin Walke saroj kumar Nayak Chandra Sekhar Rout Dattatray J.Late Shibaura Institute of Technology Koto-CityTokyo135-8548Japan School of Basic Sciences Indian Institute of Technology BhubaneswarJatniOdisha752050India National Centre for Nanosciences and Nanotechnology University of MumbaiMumbaiMaharashtra400098India Centre for Nano and Material Sciences Jain UniversityRamanagaramBangalore562112India Centre for Nanoscience&Nanotechnology Amity University MaharashtraMumbai-Pune ExpresswayBhatanPost—SomathnePanvelMaharashtra410206India

The next generation of electronics technology is purely going to be based on wearable sensing systems. Wearable electronic sensors that can operate in a continuous and sustainable manner without the need of an external power sources, are essential for portable and mobile electronic applications. In this review article, the recent progress and advantages of wearable self-powered smart chemical sensors systems for wearable electronics are presented. An overview of various modes of energy conversion and storage technologies for self-powered devices is provided. Self-powered chemical sensors (SPCS) systems with integrated energy units are then discussed, separated as solar cell-based SPCS, triboelectric nano-generators based SPCS, piezoelectric nano-generators based SPCS, energy storage device based SPCS, and thermal energy-based SPCS. Finally, the outlook on future prospects of wearable chemical sensors in self-powered sensing systems is addressed.

关键词： chemical sensors self-powered wearable electronics smart sensors

Performance Analysis of 5 G Wireless Hybrid Precoding Using Evolutionary Algorithms

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Journal of Bionic Engineering 2023年第5期20卷 2317-2330页

作者： Madhusmita sahoo Harish kumar sahoo Department of ECE ITERSiksha O Anusandhan UniversityJagamaraBhubaneswarOdisha751030India Department of Electronics and Telecommunication Engineering Veer Surendra Sai University of TechnologyBurlaSambalpurOdisha768018India

Emerging 5G communication solutions utilize the millimeter wave(mmWave)band to alleviate the spectrum *** the mmWave range,Multiple Input Multiple Output(MIMO)technologies support a large number of simultaneous *** mmWave MIMO wireless systems,hybrid analog/digital precoding topologies provide a reduced complexity substitute for digital *** Error Rate(BER)and Spectral efficiency performances can be improved by hybrid Minimum Mean Square Error(MMSE)precoding,but the computation involves matrix inversion *** number of antennas at the broadcasting and receiving ends is quite large for mm-wave MIMO systems,thus computing the inverse of a matrix of such high dimension may not be practically *** to the need for matrix inversion and known candidate matrices,the classic Orthogonal Matching Pursuit(OMP)approach will be more *** novelty of research presented in this manuscript is to create a hybrid precoder for mmWave communication systems using metaheuristic algorithms that do not require matrix inversion *** metaheuristic approach has not employed much in the formulation of a precoder in wireless *** distinct evolutionary algorithms,such as Harris–Hawks Optimization(HHO),Runge–Kutta Optimization(RUN),Slime Mould Algorithm(SMA),Hunger Game Search(HGS)Algorithm and Aquila Optimizer(AO)are considered to design optimal hybrid precoder for downlink transmission and their performances are tested under similar practical *** to simulation studies,the RUN-based precoder performs better than the conventional algorithms and other nature-inspired algorithms based precoding in terms of spectral efficiency and BER.

关键词： Millimeter wave Hybrid precoding MIMO HHO HGS RUN SMA.AO

Study of damage behavior and repair effectiveness of patch repaired carbon fiber laminate under quasi-static indentation loading

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Defence Technology（防务技术） 2024年第4期34卷 29-41页

作者： Alok kumar Chinmaya kumar sahoo A.Arockiarajan Department of Applied Mechanics Indian Institute of Technology MadrasChennai 600036India

Damage caused due to low-velocity impacts in composites leads to substantial deterioration in their residual strength and eventually provokes structural *** work presents an experimental investigation on the effects of different patch and parent laminate stacking sequences on the enhancement of impact strength of Carbon Fiber Reinforced Polymers(CFRP)composites by utilising the adhesively bonded external patch repair *** evolution study is also performed with the aid of Acoustic Emission(AE).Two different quasi-isotropic configurations were selected for the parent laminate,viz.,[45°/45°/0°/0°]s and[45°/0°/45°/0°]*** Static Indentation(QSI)test was performed on both the pristine laminates,and damage areas were detected by using the C-scan inspection *** laminates were repaired by using a single-sided patch of two different configurations,viz.,[45°/45°/45°/45°]and[45°/0°/0°/45°],and employing a circular plug to fill the damaged *** different combinations of repaired laminates with two configurations of each parent and patch laminate were produced,which were further subjected to the QSI *** results reveal the effectiveness of the repair method,as all the repaired laminates show higher impact resistance compared to the respective pristine *** of[45°/0°/0°/45°]configuration when repaired by taking[45°/45°/0°/0°]s and[45°/0°/45°/0°]s as parents exhibited 68%and 73%higher peak loads,respectively,than the respective pristine ***,parent and patch of configuration[45°/0°/45°/0°]s and[45°/0°/0°/45°],respectively,attain the highest peak load,whereas[45°/45°/0°/0°]s and[45°/45°/45°/45°]combinations possess the most gradual decrease in the load.

关键词： Carbon fiber reinforced polymers(CFRP) Quasi-isotropic laminate Quasi static indentation(QSI) Acoustic emission(AE) Composite repair

Effects of delay in immunological response of HIV infection

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International Journal of Biomathematics 2018年第6期11卷 1-29页

作者： saroj kumar Sahani Yashi Department of Mathematics South Asian University Akbar Bhawan Chankyapuri New Delhi 110021 India

In this paper, a human immunodeficiency virus （HIV） infection model with both the types of immune responses, the antibody and the killer cell immune responses has been introduced. The model has been made more logical by including two delays in the acti-vation of both the immune responses, along with the combination drug therapy. The inclusion of both the delayed immune responses provides a greater understanding of long-term dynamics of the disease. The dependence of the stability of the steady states of the model on the reproduction number R0 has been explored through stability theory. Moreover, the global stability analysis of the infection-free steady state and the infected steady state has been proved with respect to R0. The bifurcation analysis of the infected steady state with respect to both delays has been performed. Numerical simulations have been carried out to justify the results proved. This model is capable of explaining the long-term dynamics of HIV infection to a greater extent than that of the existing model as it captures some basic parameters involved in the system such as immunological delay and immune response. Similarly, the model also explains the basic understanding of the disease dynamics as a result of activation of the immune response toward the virus.

关键词： HIV humoral immunity immunological delay Hopf bifurcation globalstability.

Adaptive Three-phase Estimation of Sequence Components and Frequency Using H∞ Filter Based on Sparse Model

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Journal of Modern Power Systems and Clean Energy 2020年第5期8卷 981-990页

作者： Umamani Subudhi Harish kumar sahoo Sanjeev kumar Mishra Department of Electronics and Telecommunication Engineering Indian Institute of Information Technology(IIIT)BhubaneshwarIndia Department of Electronics and Telecommunication Engineering Veer Surendra Sai University of Tecnology(Burla)SambalpurIndia

The estimation of sequence or symmetrical components and frequency in three-phase unbalanced power system is of great importance for protection and *** paper proposes a new H∞filter based on sparse model to track the sequence components and the frequency of three-phase unbalanced power *** inclusion of sparsity improves the error convergence behavior of estimation model and hence short-duration non-stationary PQ events can easily be tracked in the time *** proposed model is developed using l1 norm penalty in the cost function of H∞filter,which is quite suitable for estimation across all the three phases of an unbalanced *** model uses real state space modeling across three phases to estimate amplitude and phase parameters of sequence ***,frequency estimation uses complex state space modeling and Clarke transformation generates a complex measurement signal from the unbalanced three-phase *** state vector used for frequency estimation consists of two state *** proposed sparse model is tested using distorted three-phase signals from IEEE-1159-PQE database and the data generated from experimental laboratory *** analysis of absolute and mean square error is presented to validate the performance of the proposed model.

关键词： Sequence component Clarke transformation H∞filter state space model

Study of Non-Pharmacological Interventions on COVID-19 Spread

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Computer Modeling in Engineering & Sciences 2020年第12期125卷 967-990页

作者： Avaneesh Singh saroj kumar Chandra Manish kumar Bajpai PDPM Indian Institute of Information Technology Design and ManufacturingJabalpur482005India

COVID-19 disease has emerged as one of the life threatening threat to the society.A novel beta coronavirus causes *** began as unidentified pneumonia of unknown etiology in Wuhan City,Hubei province in China emerged in December *** vaccine has been produced till *** models are used to study the impact of different measures used to decrease *** models have been designed to estimate the numbers of spreaders in different scenarios in the present *** the present manuscript,three different mathematical models have been proposed with different scenarios,such as screening,quarantine,andNPIs,to estimate the number of virus *** analysis shows that the numbers of COVID-19 patients will be more without screening the peoples coming from other *** every people suffering fromCOVID-19 disease are *** screening and quarantine with NPIs have been implemented to study their impact on the *** has been found that NPI measures can reduce the number of *** NPI measures reduce the spread function’s growth and provide decision makers more time to prepare with in dealing with the disease.

关键词： Coronavirus COVID-19 mathematical modelling epidemic