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Archery Algorithm:A Novel Stochastic Optimization Algorithm for Solving Optimization Problems

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Computers, Materials & Continua 2022年第7期72卷 399-416页

作者： Fatemeh ahmadi Zeidabadi Mohammad Dehghani Pavel Trojovsky Štěpán Hubálovsky Victor Leiva Gaurav Dhiman Department of Mathematics and Computer Sciences Sirjan University of TechnologySirjanIran Department of Mathematics Faculty of ScienceUniversity of Hradec Králové50003Hradec KrálovéCzech Republic Department of Applied Cybernetics Faculty of ScienceUniversity of Hradec Králové50003Hradec KrálovéCzech Republic School of Industrial Engineering Pontificia Universidad Católica de ValparaísoValparaíso2362807Chile Department of Computer Science Government Bikram College of CommercePatialaPunjabIndia

Finding a suitable solution to an optimization problem designed in science is a major ***,these must be addressed utilizing proper *** on a random search space,optimization algorithms can find acceptable solutions to *** Algorithm(AA)is a new stochastic approach for addressing optimization problems that is discussed in this *** fundamental idea of developing the suggested AA is to imitate the archer’s shooting behavior toward the target *** proposed algorithm updates the location of each member of the population in each dimension of the search space by a member randomly marked by the *** AA is mathematically described,and its capacity to solve optimization problems is evaluated on twenty-three distinct types of objective ***,the proposed algorithm’s performance is compared *** approaches,including teaching-learning based optimization,marine predators algorithm,genetic algorithm,grey wolf optimization,particle swarm optimization,whale optimization algorithm,gravitational search algorithm,and tunicate swarm *** to the simulation findings,the AA has a good capacity to tackle optimization issues in both unimodal and multimodal scenarios,and it can give adequate quasi-optimal solutions to these *** analysis and comparison of competing algorithms’performance with the proposed algorithm demonstrates the superiority and competitiveness of the AA.

关键词： Archer meta-heuristic algorithm population-based optimization stochastic programming swarm intelligence population-based algorithm Wilcoxon statistical test

A Novel Attack on Complex APUFs Using the Evolutionary Deep Convolutional Neural Network

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Intelligent Automation & Soft Computing 2023年第9期37卷 3059-3081页

作者： Ali ahmadi Shahrakht Parisa Hajirahimi Omid Rostami Diego Martín Department of Industrial Engineering Sharif University of TechnologyTehran14588-89694Iran Department of Business Administration Boston UniversityBostonMA02215USA Department of Industrial Engineering University of HoustonHoustonTX77204USA ETSI de Telecomunicación Universidad Politécnica de MadridMadrid28040Spain

As the internet of things(IoT)continues to expand rapidly,the significance of its security concerns has grown in recent *** address these concerns,physical unclonable functions(PUFs)have emerged as valuable tools for enhancing IoT *** leverage the inherent randomness found in the embedded hardware of IoT ***,it has been shown that some PUFs can be modeled by attackers using machine-learning-based *** this paper,a new deep learning(DL)-based modeling attack is introduced to break the resistance of complex *** training DL models is a problem that falls under the category of NP-hard problems,there has been a significant increase in the use of meta-heuristics(MH)to optimize DL ***,it is widely recognized that finding the right balance between exploration and exploitation when dealing with complex problems can pose a significant *** address these chal-lenges,a novel migration-based multi-parent genetic algorithm(MBMPGA)is developed to train the deep convolutional neural network(DCNN)in order to achieve a higher rate of accuracy and convergence speed while decreas-ing the run-time of the *** the proposed MBMPGA,a non-linear migration model of the biogeography-based optimization(BBO)is utilized to enhance the exploitation ability of GA.A new multi-parent crossover is then introduced to enhance the exploration ability of *** behavior of the proposed MBMPGA is examined on two real-world optimization *** benchmark problems,MBMPGA outperforms other MH algorithms in convergence *** proposed model are also compared with previous attacking models on several simulated challenge-response pairs(CRPs).The simulation results on the XAPUF datasets show that the introduced attack in this paper obtains more than 99%modeling accuracy even on *** addition,the proposed MBMPGA-DCNN outperforms the state-of-the-art modeling attacks in a reduced timeframe and with a smaller number of requi

关键词： IoT security PUFs modeling attacks evolutionary deep learning migration-based multi-parent genetic algorithm

SSABA:Search Step Adjustment Based Algorithm

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Computers, Materials & Continua 2022年第6期71卷 4237-4256页

作者： Fatemeh ahmadi Zeidabadi Ali Dehghani Mohammad Dehghani Zeinab Montazeri Stepán Hubálovsky Pavel Trojovsky Gaurav Dhiman Department of Mathematics and Computer Sciences Sirjan University of TechnologySirjanIran Department of Civil Engineering Islamic Azad UniversityEstahban BranchEstahbanIran Department of Mathematics Faculty of ScienceUniversity of Hradec KrálovéHradec Králové50003Czech Republic Department of Electrical and Electronics Engineering Shiraz University of TechnologyShirazIran Department of Applied Cybernetics Faculty of ScienceUniversity of Hradec KrálovéHradec Králové50003Czech Republic Department of Computer Science Government Bikram College of CommercePatialaPunjabIndia

Finding the suitable solution to optimization problems is a fundamental challenge in various *** algorithms are one of the effective stochastic methods in solving optimization *** this paper,a new stochastic optimization algorithm called Search StepAdjustment Based Algorithm(SSABA)is presented to provide quasi-optimal solutions to various optimization *** the initial iterations of the algorithm,the step index is set to the highest value for a comprehensive search of the search ***,with increasing repetitions in order to focus the search of the algorithm in achieving the optimal solution closer to the global optimal,the step index is reduced to reach the minimum value at the end of the algorithm *** is mathematically modeled and its performance in optimization is evaluated on twenty-three different standard objective functions of unimodal and multimodal *** results of optimization of unimodal functions show that the proposed algorithm SSABA has high exploitation power and the results of optimization of multimodal functions show the appropriate exploration power of the proposed *** addition,the performance of the proposed SSABA is compared with the performance of eight well-known algorithms,including Particle Swarm Optimization(PSO),Genetic Algorithm(GA),Teaching-Learning Based Optimization(TLBO),Gravitational Search Algorithm(GSA),Grey Wolf Optimization(GWO),Whale Optimization Algorithm(WOA),Marine Predators Algorithm(MPA),and Tunicate Swarm Algorithm(TSA).The simulation results show that the proposed SSABA is better and more competitive than the eight compared algorithms with better performance.

关键词： Optimization population-based optimization problem search step optimization algorithm minimization maximization

The thermal analysis of the heat dissipation system of the charging module integrated with ultra-thin heat pipes

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Energy and Built Environment 2023年第5期4卷 506-515页

作者： Tingzhen Ming Xiwang Liao Tianhao Shi Kui Yin Zhiyi Wang Mohammad Hossein ahmadi Yongjia Wu School of Civil Engineering and Architecture Wuhan University of TechnologyWuhan 430070China China Constuction Third Bureau First Engineering Co.LTD.Wuhan 430040 China Faculty of Mechanical Engineering Shahrood University of TechnologyShahroodIran

Electric vehicles(EV)played an important role fighting greenhouse gas emissions that contributed to global *** construction of the charging pile,which was called as the"gas station"of EV,developed *** charging speed of the charging piles was shorted rapidly,which was a challenge for the heat dissipation system of the charging *** order to reduce the operation temperature of the charging pile,this paper proposed a fin and ultra-thin heat pipes(UTHPs)hybrid heat dissipation system for the direct-current(DC)charging *** L-shaped ultra-thin flattened heat pipe with ultra-high thermal conductivity was adopted to reduce the spreading thermal *** software was used to simulate the temperature and flow profiles of the new *** various factors that affected the heat dissipation performance of the system were *** results showed that the system had excellent heat dissipation capacity and achieved good temperature *** than solely relied on the fans,this new design efficiently dissipated heat with a lower fan load and less energy consumption.

关键词： ICEPAK simulation Charging pile heat transfer Ultra-thin heat pipe Chip cooling

An efficient two-stage approach for structural damage detection using meta-heuristic algorithms and group method of data handling surrogate model

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Frontiers of Structural and Civil Engineering 2020年第4期14卷 907-929页

作者： Hamed FATHNEJAT Behrouz ahmadi-NEDUSHAN Department of Civil Engineering Yazd UniversityYazd 89195-741Iran

In this study,the performance of an efficient two-stage methodology which is applied in a damage detection system using a surrogate model of the structure has been *** the first stage,in order to locate the damage accurately,the performance of the modal strain energy based index for using different numbers of natural mode shapes has been evaluated using the confusion *** the second stage,to estimate the damage extent,the sensitivity of most used modal properties due to damage,such as natural frequency and flexibility matrix is compared with the mean normalized modal strain energy(MNMSE)of suspected damaged ***,a modal property change vector is evaluated using the group method of data handling(GMDH)network as a surrogate model during damage extent estimation by optimization algorithm;in this part of methodology,the performance of the three popular optimization algorithms including particle swarm optimization(PSO),bat algorithm(BA),and colliding bodies optimization(CBO)is examined and in this regard,root mean square deviation(RMSD)based on the modal property change vector has been proposed as an objective ***,the effect of noise in the measurement of structural responses by the sensors has also been ***,in order to achieve the most generalized neural network as a surrogate model,GMDH performance is compared with a properly trained cascade feed-forward neural network(CFNN)with log-sigmoid hidden layer transfer *** results indicate that the accuracy of damage extent estimation is acceptable in the case of integration of PSO and ***,the GMDH model is also more efficient and mimics the behavior of the structure slightly better than CFNN model.

关键词： two-stage method modal strain energy surrogate model GMDH optimization damage detection

Design of ultrafast all-optical PolSK DMUX based on semiconductor optical amplifiers

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Chinese Optics Letters 2012年第9期10卷 80-84页

作者： Hassan Kaatuzian Hamed ahmadi Photonics Research Lab Electrical Engineering Department Amirkabir University of Technology

A novel ultrahigh-speed all-optical demultiplexer （DMUX） with polarization-shift-keying （PolSK） modula- tion input signals is proposed. This design is based on four-wave mixing （FWM） in a semiconductor optical amplifier （SOA）. For analyzing each amplifier, we use finite-difference method （FDM） based on solution of the traveling wave coupled equations. Using numerical simulation, the all-optical DMUX is theoretically realized at 40 Gb/s. We also study the relation between optical confinement factor and thickness of active layer of the SOA section successfully, and investigate the increasing effect of confinement factor on the DMUX optical output power. With this work, the confinement factor is increased from 0.3 to 0.48, and as a result, the output power approximately twice of its initial value is achieved. Moreover, the effects of polarization dependence of SOA on the output performance of all-optical DMUX for PolSK signal are theoretically investigated in detail.

关键词： Design of ultrafast all-optical PolSK DMUX based on semiconductor optical amplifiers DMUX SOA

Effects of Yttrium Addition on Microstructure, Hardness and Resistance to Wear and Corrosive Wear of TiNi Alloy

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Journal of Materials Science & Technology 2011年第9期27卷 851-855页

作者： Hojat ahmadi Meisam Nouri Faculty of Biosystems Engineering University of Tehran Department of Materials Engineering Tarbiat Modares University

TiNi alloy has a high resistance to wear and could be an excellent candidate for various tribological applications. In this paper, it was demonstrated that by addition of yttrium, hardness properties and resistance to wear and corrosive wear of TiNi alloy were improved. New yttrium rich regions were formed in microstructure of TiNi alloy. The improved properties of this alloy by the yttrium addition could be attributed to the formation of these regions. The results showed that there was an optimum content for addition of yttrium between 2% and 5% （in wt%）, and above this content the improvement in properties of TiNi became minor.

关键词： Yttrium TiNi Mechanical behaviour Wear Corrosive wear Microstructure

Nut consumption and urogenital and genital,gastrointestinal and women-related cancers:Assessment and review

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Chronic Diseases and Translational Medicine 2023年第4期9卷 277-287页

作者： Maryam Mohamadi Periklis Dousdampanis Zahra ahmadi Soheila Pourmasumi Monavare Naderi Nahid Zainodini Alireza Nazari Occupational Safety and Health Research Center NICICOWorld safety organization and Rafsanjan University of Medical SciencesRafsanjanIran Department of Nephrology Saint Andrews State General HospitalPatrasGreece pistachio Safety Research Center Rafsanjan University of Medical SciencesRafsanjanIran Social Determinants of Health Research Center Rafsanjan University of Medical SciencesRafsanjanIran Clinical Research Development Unit Ali-Ibn Abi-Talib HospitalRafsanjan University of Medical SciencesRafsanjanIran Vice Chancellor for Research and Technology Rafsanjan University of Medical SciencesRafsanjanIran Immunology of Infectious Diseases Research Center Research Institute of Basic Medical SciencesRafsanjan University of Medical SciencesRafsanjanIran Department of Surgery School of MedicineRafsanjan University of Medical SciencesRafsanjanIran

The prevalence of cancer,especially in industrial countries,is a major problem for health and treatment *** can affect the quality of life of all family members and has many negative effects on the *** many advances in cancer treatment,this disease is still a major worldwide *** is strong evidence that dietary habits are effective in protecting against cancer and even helping in the disease treatment *** with various biologically-active compounds,such as vitamins,phytosterols,isoflavones,flavonoids,and polyphenols have been reported to possess anticarcinogenic ***,this review provides an insight into the association between nut consumption and the prevention of some *** considered the cancers related to the urogenital and genital tract,gastrointestinal tract,as well as women-related *** cell culture examinations and experimental animal studies alongside observational epidemiological studies demonstrated that regular consumption of a nut-enriched diet is able to reduce the risk of these cancers.

关键词： bladder breast cervical nut prostate

Photoactive area modification in bulk heterojunction organic solar cells using optimization of electrochemically synthesized ZnO nanorods

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Chinese Physics B 2015年第11期24卷 422-427页

作者： Mehdi ahmadi Sajjad Rashidi Dafeh Department of Physics Faculty of Science Vali-e-Asr University of Rafsanjan

In this work, ZnO nanorod arrays grown by an electrochemical deposition method are investigated. The crucial parameters of length, diameter, and density of the nanorods are optimized over the synthesize process and nanorods growth time. Crystalline structure, morphologies, and optical properties of ZnO nanorod arrays are studied by different techniques such as x-ray diffraction, scanning electron microscope, atomic force microscope, and UV-visible transmission spectra. The ZnO nanorod arrays are employed in an inverted bulk heterojunction organic solar cell of Poly （3-hexylthiophene）：[6- 6] Phenyl-（6） butyric acid methyl ester to introduce more surface contact between the electron transporter layer and the active layer. Our results show that the deposition time is a very important factor to achieve the aligned and uniform ZnO nanorods with suitable surface density which is required for effective infiltration of active area into the ZnO nanorod spacing and make a maximum interfacial surface contact for electron collection, as overgrowing causes nanorods to be too dense and thick and results in high resistance and lower visible light transmittance. By optimizing the thickness of the active layer on top of ZnO nanorods, an improved efficiency of 3.17% with a high FF beyond 60% was achieved.

关键词： electrochemical deposition density-controlled ZnO nanorods inverted polymer solar cells active area modification