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Thematische Bibliographien / Implementation and Optimization / Zeitschriftenartikel

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Zeitschriftenartikel zum Thema „Implementation and Optimization“

Autor: Grafiati

Veröffentlicht am 25. Mai 2024

Zuletzt aktualisiert am 31. Juli 2025

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1

Bassil, Youssef. "Implementation of Combinatorial Algorithms using Optimization Techniques." International Journal of Trend in Scientific Research and Development Volume-3, Issue-3 (2019): 660–66. http://dx.doi.org/10.31142/ijtsrd22925.

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2

Ballantyne, Michael, Mitch Gamburg, and Jason Hemann. "Compiled, Extensible, Multi-language DSLs (Functional Pearl)." Proceedings of the ACM on Programming Languages 8, ICFP (2024): 64–87. http://dx.doi.org/10.1145/3674627.

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Implementations of domain-specific languages should offer both extensibility and performance optimizations. With the new syntax-spec metalanguage in Racket, programmers can easily create DSL implementations that are both automatically macro-extensible and subject to conventional compiler optimizations. This pearl illustrates this approach through a new implementation of miniKanren, a widely used relational programming DSL. The miniKanren community has explored, in separate implementations, optimization techniques and a wide range of extensions. We demonstrate how our new miniKanren implementat

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3

Gianamore, David. "Advanced control implementation optimization." ISA Transactions 30, no. 2 (1991): 69–74. http://dx.doi.org/10.1016/0019-0578(91)90042-4.

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4

Youssef, Bassil. "Implementation of Combinatorial Algorithms using Optimization Techniques." International Journal of Trend in Scientific Research and Development 3, no. 3 (2019): 660–66. https://doi.org/10.31142/ijtsrd22925.

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In theoretical computer science, combinatorial optimization problems are about finding an optimal item from a finite set of objects. Combinatorial optimization is the process of searching for maxima or minima of an unbiased function whose domain is a discrete and large configuration space. It often involves determining the way to efficiently allocate resources used to find solutions to mathematical problems. Applications for combinatorial optimization include determining the optimal way to deliver packages in logistics applications, determining taxis best route to reach a destination address,

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Vaughn, Susan. "Optimization Education After Project Implementation." Journal for Nurses in Staff Development (JNSD) 27, no. 2 (2011): E1—E4. http://dx.doi.org/10.1097/nnd.0b013e31820eefe4.

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6

Lindquist, Will, David Darwin, JoAnn Browning, Heather A. K. McLeod, Jiqiu Yuan, and Diane Reynolds. "Implementation of concrete aggregate optimization." Construction and Building Materials 74 (January 2015): 49–56. http://dx.doi.org/10.1016/j.conbuildmat.2014.10.027.

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7

Liu, Guoxiao, Keting Jia, Puwen Wei, and Lei Ju. "High-Performance Hardware Implementation of MPCitH and Picnic3." IACR Transactions on Cryptographic Hardware and Embedded Systems 2024, no. 2 (2024): 190–214. http://dx.doi.org/10.46586/tches.v2024.i2.190-214.

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Picnic is a post-quantum digital signature, the security of which relies solely on symmetric-key primitives such as block ciphers and hash functions instead of number theoretic assumptions. One of the main concerns of Picnic is the large signature size. Although Katz et al.’s protocol (MPCitH-PP) significantly reduces the size of Picnic, the involvement of more parties in MPCitH-PP leads to longer signing/verification times and more hardware resources. This poses new challenges for implementing high-performance Picnic on resource-constrained FPGAs. So far as we know, current works on the hardw

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Abed, Sa’ed, Reem Jaffal, Bassam Mohd, and Mohammad Alshayeji. "FPGA Modeling and Optimization of a SIMON Lightweight Block Cipher." Sensors 19, no. 4 (2019): 913. http://dx.doi.org/10.3390/s19040913.

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Security of sensitive data exchanged between devices is essential. Low-resource devices (LRDs), designed for constrained environments, are increasingly becoming ubiquitous. Lightweight block ciphers provide confidentiality for LRDs by balancing the required security with minimal resource overhead. SIMON is a lightweight block cipher targeted for hardware implementations. The objective of this research is to implement, optimize, and model SIMON cipher design for LRDs, with an emphasis on energy and power, which are critical metrics for LRDs. Various implementations use field-programmable gate a

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., Sharath D. "OPTIMIZATION AND IMPLEMENTATION OF PARALLEL SQUARER." International Journal of Research in Engineering and Technology 03, no. 06 (2014): 423–29. http://dx.doi.org/10.15623/ijret.2014.0306078.

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10

Dai, Guangming, Maocai Wang, Lei Peng, and Ruijie Qin. "Implementation And Optimization For Tate Pairing." Intelligent Automation & Soft Computing 17, no. 5 (2011): 607–17. http://dx.doi.org/10.1080/10798587.2011.10643174.

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11

Liu, Yufeng, Xiangyang Xu, and Hao Su. "AES Algorithm Optimization and FPGA Implementation." IOP Conference Series: Earth and Environmental Science 267 (June 8, 2019): 042070. http://dx.doi.org/10.1088/1755-1315/267/4/042070.

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12

Chen, Xueyu, Ralph W. Pike, Thomas A. Hertwig, and Jack R. Hopper. "Optimal implementation of on-line optimization." Computers & Chemical Engineering 22 (March 1998): S435—S442. http://dx.doi.org/10.1016/s0098-1354(98)00085-4.

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13

Well, K. H., and K. Ebert. "Trajectory Optimization Techniques and Software Implementation." IFAC Proceedings Volumes 25, no. 22 (1992): 77–87. http://dx.doi.org/10.1016/s1474-6670(17)49637-6.

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14

Pershin, Yuriy V., and Massimiliano Di Ventra. "Memcomputing Implementation of Ant Colony Optimization." Neural Processing Letters 44, no. 1 (2016): 265–77. http://dx.doi.org/10.1007/s11063-016-9497-y.

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15

Noordin, Nurul Hazlina, Phuah Soon Eu, and Zuwairie Ibrahim. "FPGA Implementation of Metaheuristic Optimization Algorithm." e-Prime - Advances in Electrical Engineering, Electronics and Energy 6 (December 2023): 100377. http://dx.doi.org/10.1016/j.prime.2023.100377.

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16

Narendra Maddukuri. "Workflow optimization for mobile computing." International Journal of Science and Research Archive 14, no. 1 (2025): 340–49. https://doi.org/10.30574/ijsra.2025.14.1.0048.

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Mobile workflow optimization has emerged as a critical factor in modern business operations, transforming how organizations manage and execute their processes across distributed environments. This comprehensive article explores the fundamental components, implementation strategies, and future directions of mobile workflow optimization. The article examines cloud integration, artificial intelligence implementation, security frameworks, and technical considerations that drive successful mobile workflow deployments. Through detailed analysis of real-world implementations, the research demonstrate

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Yao, Wei Wei, Liang Gong, and Xia Xu. "Design and Implementation of Security Network Optimization." Advanced Materials Research 977 (June 2014): 507–10. http://dx.doi.org/10.4028/www.scientific.net/amr.977.507.

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Optimization of computer network security technology shift in the relationship is constantly updated. Any computer network security solutions can not be designed once and for all. How seamless integration of network security technology and network security management together to make the network security implementation strategy is very important, this paper proposes a reasonable solution to improve overall network design and optimization of the security system, to develop scientific, reliable, dynamic network security optimization design, the design of enterprise network security solutions, co

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Han, Ming Hong. "Implementation and Validation of an Improved Collaborative Optimization Method." Advanced Materials Research 143-144 (October 2010): 1445–49. http://dx.doi.org/10.4028/www.scientific.net/amr.143-144.1445.

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Collaborative optimization (CO) is the most widely used Multidisciplinary design optimization (MDO) method for the design of complex engineering system. But some serious computational difficulties are found in its application. Reasons that cause computational difficulties in original CO were analyzed and a new improved collaborative optimization method (ICO) was presented. The L1 norm was used to improve subsystem consistency constraint and to avoid discontinuities in subsystem object function derivatives. Penalty function was added to system-level object function to convert constrained optimi

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HOTHAZIE, Mihai-Vladut, Georgiana ICHIM, and Mihai-Victor PRICOP. "Development and validation of constraints handling in a Differential Evolution optimizer." INCAS BULLETIN 12, no. 1 (2020): 59–66. http://dx.doi.org/10.13111/2066-8201.2020.12.1.6.

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Research work requires independent, portable optimization tools for many applications, most often for problems where derivability of objective functions is not satisfied. Differential evolution optimization represents an alternative to the more complex, encryption based genetic algorithms. Various packages are available as freeware, but they lack constraints handling, while constrained optimizations packages are commercially available. However, the literature devoted to constraints treatment is significant and the current work is devoted to the implementation of such an optimizer, to be applie

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Brekalo, Sanja, Klaudio Pap, and Bruno Trstenjak. "Enhancing Rendering Performance in Complex Visualizations by using Optimization Techniques and Algorithms in Browser Environments." Engineering, Technology & Applied Science Research 14, no. 3 (2024): 14049–55. http://dx.doi.org/10.48084/etasr.7201.

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This research is based on the hypothesis that optimization techniques can significantly improve the performance of complex visualizations in web browsers. The aim of the former was to determine to which extent the optimization can be achieved. Optimizations were coded to improve visualization, reduce the need for visual rendering, and decrease script execution time as well as the needed resources. To test the hypothesis, various optimization methods and algorithms were implemented on the initial visualization script and were tested. The main goal of this implementation was to assess how optimi

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21

Zhang, Yi, Pengtao Liu, and Yanhong Li. "Implementation of an Enhanced Crayfish Optimization Algorithm." Biomimetics 9, no. 6 (2024): 341. http://dx.doi.org/10.3390/biomimetics9060341.

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This paper presents an enhanced crayfish optimization algorithm (ECOA). The ECOA includes four improvement strategies. Firstly, the Halton sequence was used to improve the population initialization of the crayfish optimization algorithm. Furthermore, the quasi opposition-based learning strategy is introduced to generate the opposite solution of the population, increasing the algorithm’s searching ability. Thirdly, the elite factor guides the predation stage to avoid blindness in this stage. Finally, the fish aggregation device effect is introduced to increase the ability of the algorithm to ju

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22

Kim, Minsang, Yongmin Park, Byung-O. Kim, and Tae-Hwan Kim. "Optimization of Dehazing Method for Efficient Implementation." Journal of the Institute of Electronics and Information Engineers 53, no. 10 (2016): 58–65. http://dx.doi.org/10.5573/ieie.2016.53.10.058.

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23

Qu, Feng Juan, Hui Zhao, and Quan Bo Yuan. "Strategy and Implementation of System Performance Optimization." Advanced Materials Research 383-390 (November 2011): 2276–79. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.2276.

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Currently in various fields systems are widely used. With the increasing of visitors, the number of concurrent processes raise as System response. In order to ensure system stability for business support, this article analyses data management strategy, database design strategy, application server design strategy, web server design strategy, and implements the enhancing system performance.

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Dhabliya, Mr Dharmesh. "Cloud Computing Security Optimization via Algorithm Implementation." International Journal of New Practices in Management and Engineering 10, no. 01 (2021): 22–24. http://dx.doi.org/10.17762/ijnpme.v10i01.99.

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There has been a growing need for significant improvements in cloud computing security ? to ensure that operations and data interactions in the cloud keep abreast with the dynamic nature of information technology. Motivated by the quest for cloud computing security, this paper has examined different approaches that most of the previous scholarly investigations (which focus on the adoption of machine learning in cloud computing security) have proposed ? towards better threat detection. The paper has begun with a general algorithm responsible for establishing the summation of risk levels before

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25

Pechac, Peter, Milan Saga, Ardeshir Guran, and Leszek Radziszewski. "Implementation of Memetic Algorithms into Structural Optimization." Communications - Scientific letters of the University of Zilina 18, no. 1A (2016): 64–69. http://dx.doi.org/10.26552/com.c.2016.1a.64-69.

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26

Kim, Jayul, Jiheun Ryu, and Daegab Gweon. "Parametric Optimization for High Speed FLIM Implementation." MATEC Web of Conferences 32 (2015): 04011. http://dx.doi.org/10.1051/matecconf/20153204011.

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27

Tao, Mu, Xi Chen, and Dan Qian. "Letters and Visits System Optimization and Implementation." Journal of Software Engineering and Applications 17, no. 09 (2024): 731–39. http://dx.doi.org/10.4236/jsea.2024.179038.

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28

Wang, Kelvin C. P., John Zaniewski, and James Delton. "Microcomputer Implementation of Pavement Network Optimization System." Journal of Computing in Civil Engineering 7, no. 4 (1993): 495–510. http://dx.doi.org/10.1061/(asce)0887-3801(1993)7:4(495).

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29

Kirsch, Uri. "Implementation of combined approximations in structural optimization." Computers & Structures 78, no. 1-3 (2000): 449–57. http://dx.doi.org/10.1016/s0045-7949(00)00093-6.

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30

Gangadhara Sai, Pirati, Chapala Sandhya Rani, and Usha Rani Nelakuditi. "Implementation of Power Optimization Technique for UAVs." Materials Today: Proceedings 5, no. 1 (2018): 132–37. http://dx.doi.org/10.1016/j.matpr.2017.11.063.

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31

Padula, S. L., and S. C. Stone. "Parallel implementation of large-scale structural optimization." Structural Optimization 16, no. 2-3 (1998): 176–85. http://dx.doi.org/10.1007/bf01202828.

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32

Tan, Jian Ding, Siaw Paw Koh, Mau Teng Au, Sieh Kiong Tiong, and Kharudin Ali. "Implementation of Voltage Optimization for Sustainable Energy." Indonesian Journal of Electrical Engineering and Computer Science 12, no. 1 (2018): 341. http://dx.doi.org/10.11591/ijeecs.v12.i1.pp341-347.

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<p>The voltage control in the power distribution network is challenged firstly by constantly increasing in power demand and secondly by a growing number of distributed connections, which significantly changes the load flow in the network. Situation is worsening with the current heavily implemented micro-generation of Solar PV. Consequently, the uncontrollable rapid changes in the power distribution network would affect voltage instability at the feeder with wide area power demand. Voltage instability would affect the energy efficiency of the electrical equipment. Moreover, the lifespan o

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33

Rosenow, Ulf F., and Jadwiga B. Wojcicka. "Clinical implementation of stereotaxic brain implant optimization." Medical Physics 18, no. 2 (1991): 266–72. http://dx.doi.org/10.1118/1.596712.

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34

Padula, S. L., and S. C. Stone. "Parallel implementation of large-scale structural optimization." Structural Optimization 16, no. 2 (1998): 176. http://dx.doi.org/10.1007/s001580050018.

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35

AlJame, Maryam, Imtiaz Ahmad, and Mohammad Alfailakawi. "Apache Spark Implementation of Whale Optimization Algorithm." Cluster Computing 23, no. 3 (2020): 2021–34. http://dx.doi.org/10.1007/s10586-020-03162-7.

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36

Amirkhanov, I. R., E. S. Kaleeva, and D. A. Fatun. "Real-time optimization system: methods and implementation." Automation and informatization of the fuel and energy complex, no. 2 (2023): 13–19. http://dx.doi.org/10.33285/2782-604x-2023-2(595)-13-19.

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37

Randall, Marcus, and Andrew Lewis. "A Parallel Implementation of Ant Colony Optimization." Journal of Parallel and Distributed Computing 62, no. 9 (2002): 1421–32. http://dx.doi.org/10.1006/jpdc.2002.1854.

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38

Jian, Ding Tan, Paw Koh Siaw, Teng Au Mau, Kiong Tiong Sieh, and Ali Kharudin. "Implementation of Voltage Optimization for Sustainable Energy." Indonesian Journal of Electrical Engineering and Computer Science 12, no. 1 (2018): 341–47. https://doi.org/10.11591/ijeecs.v12.i1.pp341-347.

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The voltage control in the power distribution network is challenged firstly by constantly increasing in power demand and secondly by a growing number of distributed connections, which significantly changes the load flow in the network. Situation is worsening with the current heavily implemented microgeneration of Solar PV. Consequently, the uncontrollable rapid changes in the power distribution network would affect voltage instability at the feeder with wide area power demand. Voltage instability would affect the energy efficiency of the electrical equipment. Moreover, the lifespan of some equ

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39

Baraldi, Giovanni L., Carlos S. B. Dias, Francisco M. C. Silva, Hélio C. N. Tolentino, and Eduardo X. Miqueles. "Fast reconstruction tools for ptychography at Sirius, the fourth-generation Brazilian synchrotron." Journal of Applied Crystallography 53, no. 6 (2020): 1550–58. http://dx.doi.org/10.1107/s1600576720013886.

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Described here are image reconstruction optimizations for ptychographic coherent X-ray scattering data and X-ray fluorescence, which have been developed for the new fourth-generation synchrotron light source, Sirius, at the Brazilian Synchrotron Light Laboratory. The optimization strategy has been applied to the standard experimental strategy for ptychographic and fluorescence experiments on the Carnaúba beamline which involves the use of high-speed continuous scans (fly scans) for a fast acquisition time over large areas through the use of a newly proposed trajectory named the alternating lin

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40

Kanona, Rusul M., Zainab N. Al-Qudsy, and Shaymaa Azzam Alyawer. "Forward error correction in 5G heterogeneous network." Periodicals of Engineering and Natural Sciences (PEN) 10, no. 2 (2022): 90–100. https://doi.org/10.21533/pen.v10.i2.583.

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In this research, the feasibility of developing a complete polar FEC chain of 5th generation cellular mobile communication standard in software. Specifically, on general purpose processors. Paperwork attempts to achieve stringent latency requirements through software, algorithmic and platform specific optimizations. Many algorithms in FEC chain are optimized for hardware implementations. Direct implementation of these algorithms in software results in poor performance. To obtain best performance in terms of latency on general purpose processors, these algorithms are modified or reformulated to

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41

Shi, Wei Yi, and Yun Fu Shen. "An Algorithm Design and Implementation of Connect6." Advanced Materials Research 546-547 (July 2012): 1501–6. http://dx.doi.org/10.4028/www.scientific.net/amr.546-547.1501.

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The new Connect6 game was launched and received the widespread attention in recent years. For the problems existing in pattern judgment way and in 6-8 windows in some literatures, the algorithm of Connect6 is studied by considering the attack and defensive characteristics of the Connect6. By the new 6-8 window approach proposed here, the evaluation function which determines the evaluation value is designed and implemented by calculating the changing quantity of the assessed values of the chessboard before and after the falling a stone. Based on this, an optimal Connect6 program is designed and

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Blaž, Janez, Klemen Zajc, Samo Zupan, and Miha Ambrož. "Evaluation System for the Implementation of Public Passenger Transport as a Public Service Obligation." Sustainability 11, no. 12 (2019): 3294. http://dx.doi.org/10.3390/su11123294.

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The research in this article relates to an evaluation system for the implementation of lines in a public passenger transport system as a public service obligation. The purpose of this research is to present the methodology for the performance evaluation of a public passenger transport system that serves the public transport authority as a tool for making further decisions. The procedures first refer to the experimental determination of the criteria and then perform the first evaluation in the form of the value of the objective function. This is followed by multi-stage linear regression and opt

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Milenković, Branislav. "Implementation of Harris Hawks Optimization (HHO) algorithm to solve engineering problems." Tehnika 76, no. 4 (2021): 439–46. http://dx.doi.org/10.5937/tehnika2104439m.

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Recently, optimization techniques have become very important and popular in different engineering applications. In this paper we demonstrate how Harris Hawks Optimization (HHO) algorithm can be used to solve certain optimization problems in engineering. In the second part, biological fundamentals, as well as method explanation are given. Afterwards, the HHO algorithm and its' applicability is explained in detail. The pseudo code for this algorithm was written using MATLAB R2019a software suite. Harris Hawks Optimization (HHO) algorithm was used for optimization of engineering problems, such as

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Pusztai, Zoltán, Péter Kőrös, Ferenc Szauter, and Ferenc Friedler. "Implementation of Optimized Regenerative Braking in Energy Efficient Driving Strategies." Energies 16, no. 6 (2023): 2682. http://dx.doi.org/10.3390/en16062682.

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In this paper, determination of optimized regenerative braking-torque function and application in energy efficient driving strategies is presented. The study investigates a lightweight electric vehicle developed for the Shell Eco-Marathon. The measurement-based simulation model was implemented in the MATLAB/Simulink environment and used to establish the optimization. The optimization of braking-torque function was performed to maximize the recuperated energy. The determined braking-torque function was applied in a driving strategy optimization framework. The extended driving strategy optimizat

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C.Kavitha, C. Kavitha, and C. Vijayalakshmi C. Vijayalakshmi. "Design and Implementation of Fuzzy Multi Objective Optimization Model for Production Planning." Indian Journal of Applied Research 3, no. 12 (2011): 372–75. http://dx.doi.org/10.15373/2249555x/dec2013/113.

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46

Amol Ananda Gore, Amol Ananda Gore, and Prof V. V. Deotare Prof. V. V. Deotare. "Implementation of Aes For Image Cryptography Process on Sopc with Area Optimization." Indian Journal of Applied Research 3, no. 7 (2011): 190–92. http://dx.doi.org/10.15373/2249555x/july2013/59.

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47

Sheijani, Omid Sojoodi, and Ali Izadi. "Time Optimization during Software Implementation for Timely Delivery Using Meta-Heuristic Algorithms." International Journal of Machine Learning and Computing 9, no. 5 (2019): 581–85. http://dx.doi.org/10.18178/ijmlc.2019.9.5.843.

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48

Grover, Garima, and Ila Chaudhary. "Implementation of Particle Swarm Optimization Algorithm in VHDL for Digital Circuits Optimization." International Journal of Information Engineering and Electronic Business 6, no. 5 (2014): 16–21. http://dx.doi.org/10.5815/ijieeb.2014.05.03.

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49

Made Hanindia Prami Swari, Dio Farrel Putra Rachmawan, and Chrystia Aji Putra. "Multinomial Optimization of Naïve Bayes Through the Implementation of Particle Swarm Optimization." Technium: Romanian Journal of Applied Sciences and Technology 16 (October 29, 2023): 169–75. http://dx.doi.org/10.47577/technium.v16i.9977.

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Sentiment analysis is widely used in cases of text processing and comments. One of the case studies is about the analysis of a hotel review by the public. The method used in analyzing a sentiment from comments or reviews of a hotel is the Naïve Bayes Classifier. One that can be used is the Multinomial Naïve Bayes method. In improving the results of the accuracy of the method required an optimization method. There are many optimization methods that can be applied to algorithms in sentiment analysis case studies. One well-known method is Particle Swarm Optimization (PSO). This study aims to dete

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Shao, Lei, Hai Bin Zuo, and Nan Liu. "GA Implementation Path Optimization of Pneumatic Marking System." Applied Mechanics and Materials 391 (September 2013): 390–93. http://dx.doi.org/10.4028/www.scientific.net/amm.391.390.

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According to the characteristics of pneumatic marking system, and the typing path was seen as a TSP problem. After comparing the Dijkstra optimization algorithm of marking path results, and applying the genetic algorithm (GA) to analysis, research, and solve the optimization problem, reasonable to get print needle typing path. In this case, printing mark time was shorten as much as possible. It was proved by MATLAB simulation that the study can solve the problem of path optimization and improve the efficiency of marking greatly.

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