Literatura académica sobre el tema "OPTIMIZER ALGORITHM"
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Artículos de revistas sobre el tema "OPTIMIZER ALGORITHM"
Mehta, Pranav, Betul Sultan Yildiz, Sadiq M. Sait y Ali Riza Yildiz. "Hunger games search algorithm for global optimization of engineering design problems". Materials Testing 64, n.º 4 (1 de abril de 2022): 524–32. http://dx.doi.org/10.1515/mt-2022-0013.
Texto completoAbdel-Basset, Mohamed, Reda Mohamed, Karam M. Sallam y Ripon K. Chakrabortty. "Light Spectrum Optimizer: A Novel Physics-Inspired Metaheuristic Optimization Algorithm". Mathematics 10, n.º 19 (23 de septiembre de 2022): 3466. http://dx.doi.org/10.3390/math10193466.
Texto completoKhan, Muhammad Fahad, Muqaddas Bibi, Farhan Aadil y Jong-Weon Lee. "Adaptive Node Clustering for Underwater Sensor Networks". Sensors 21, n.º 13 (30 de junio de 2021): 4514. http://dx.doi.org/10.3390/s21134514.
Texto completoSameh, Mariam A., Mostafa I. Marei, M. A. Badr y Mahmoud A. Attia. "An Optimized PV Control System Based on the Emperor Penguin Optimizer". Energies 14, n.º 3 (1 de febrero de 2021): 751. http://dx.doi.org/10.3390/en14030751.
Texto completoMehta, Pranav, Betül Sultan Yıldız, Nantiwat Pholdee, Sumit Kumar, Ali Riza Yildiz, Sadiq M. Sait y Sujin Bureerat. "A novel generalized normal distribution optimizer with elite oppositional based learning for optimization of mechanical engineering problems". Materials Testing 65, n.º 2 (1 de febrero de 2023): 210–23. http://dx.doi.org/10.1515/mt-2022-0259.
Texto completoEwees, Ahmed A., Zakariya Yahya Algamal, Laith Abualigah, Mohammed A. A. Al-qaness, Dalia Yousri, Rania M. Ghoniem y Mohamed Abd Elaziz. "A Cox Proportional-Hazards Model Based on an Improved Aquila Optimizer with Whale Optimization Algorithm Operators". Mathematics 10, n.º 8 (12 de abril de 2022): 1273. http://dx.doi.org/10.3390/math10081273.
Texto completoYıldız, Betül Sultan, Vivek Patel, Nantiwat Pholdee, Sadiq M. Sait, Sujin Bureerat y Ali Rıza Yıldız. "Conceptual comparison of the ecogeography-based algorithm, equilibrium algorithm, marine predators algorithm and slime mold algorithm for optimal product design". Materials Testing 63, n.º 4 (1 de abril de 2021): 336–40. http://dx.doi.org/10.1515/mt-2020-0049.
Texto completoZhang, Runze y Yujie Zhu. "Predicting the Mechanical Properties of Heat-Treated Woods Using Optimization-Algorithm-Based BPNN". Forests 14, n.º 5 (2 de mayo de 2023): 935. http://dx.doi.org/10.3390/f14050935.
Texto completoAlRassas, Ayman Mutahar, Mohammed A. A. Al-qaness, Ahmed A. Ewees, Shaoran Ren, Mohamed Abd Elaziz, Robertas Damaševičius y Tomas Krilavičius. "Optimized ANFIS Model Using Aquila Optimizer for Oil Production Forecasting". Processes 9, n.º 7 (9 de julio de 2021): 1194. http://dx.doi.org/10.3390/pr9071194.
Texto completoGuerra, Juan F., Ramon Garcia-Hernandez, Miguel A. Llama y Victor Santibañez. "A Comparative Study of Swarm Intelligence Metaheuristics in UKF-Based Neural Training Applied to the Identification and Control of Robotic Manipulator". Algorithms 16, n.º 8 (21 de agosto de 2023): 393. http://dx.doi.org/10.3390/a16080393.
Texto completoTesis sobre el tema "OPTIMIZER ALGORITHM"
Bhandare, Ashray Sadashiv. "Bio-inspired Algorithms for Evolving the Architecture of Convolutional Neural Networks". University of Toledo / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1513273210921513.
Texto completoLakshminarayanan, Srivathsan. "Nature Inspired Grey Wolf Optimizer Algorithm for Minimizing Operating Cost in Green Smart Home". University of Toledo / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1438102173.
Texto completoMartz, Matthew. "Preliminary Design of an Autonomous Underwater Vehicle Using a Multiple-Objective Genetic Optimizer". Thesis, Virginia Tech, 2008. http://hdl.handle.net/10919/33291.
Texto completoMaster of Science
Parandekar, Amey V. "Development of a Decision Support Framework forIntegrated Watershed Water Quality Management and a Generic Genetic Algorithm Based Optimizer". NCSU, 1999. http://www.lib.ncsu.edu/theses/available/etd-19990822-032656.
Texto completoPARANDEKAR, AMEY, VIJAY. Development of a Decision Support Framework for Integrated Watershed Water Quality Management and a Generic Genetic Algorithm Based Optimizer. (Under the direction of Dr. S. Ranji Ranjithan.)The watershed management approach is a framework for addressing water quality problems at a watershed scale in an integrated manner that considers many conflicting issues including cost, environmental impact and equity in evaluating alternative control strategies. This framework enhances the capabilities of current environmental analysis frameworks by the inclusion of additional systems analytic tools such as optimization algorithms that enable efficient search for cost effective control strategies and uncertainty analysis procedures that estimate the reliability in achieving water quality targets. Traditional optimization procedures impose severe restrictions in using complex nonlinear environmental processes within a systematic search. Hence, genetic algorithms (GAs), a class of general, probabilistic, heuristic, global, search procedures, are used. Current implementation of this framework is coupled with US EPA's BASINS software system. A component of the current research is also the development of GA object classes and optimization model classes for generic use. A graphical user interface allows users to formulate mathematical programming problems and solve them using GA methodology. This set of GA object and the user interface classes together comprise the Generic Genetic Algorithm Based Optimizer (GeGAOpt), which is demonstrated through applications in solving interactively several unconstrained as well as constrained function optimization problems.Design of these systems is based on object oriented paradigm and current software engineering practices such as object oriented analysis (OOA) and object oriented design (OOD). The development follows the waterfall model for software development. The Unified Modeling Language (UML) is used for the design. The implementation is carried out using the JavaTM programming environment
Parandekar, Amey V. "Development of a decision support framework for integrated watershed water quality management and a Generic Genetic Algorithm Based Optimizer". Raleigh, NC : North Carolina State University, 1999. http://www.lib.ncsu.edu/etd/public/etd-492632279902331/etd.pdf.
Texto completoPillai, Ajit Chitharanjan. "On the optimization of offshore wind farm layouts". Thesis, University of Edinburgh, 2017. http://hdl.handle.net/1842/25470.
Texto completoLuo, Hui Long. "Optimized firefly algorithm and application". Thesis, University of Macau, 2015. http://umaclib3.umac.mo/record=b3335707.
Texto completoThulo, Motlatsi Isaac. "Optimized Security-aware VM placement algorithm". Diss., University of Pretoria, 2019. http://hdl.handle.net/2263/73387.
Texto completodissertation (MSc)--University of Pretoria, 2019.
Computer Science
MSc
Unrestricted
陳從輝 y Chung-fai Chan. "MOS parameter extraction globally optimized with genetic algorithm". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1996. http://hub.hku.hk/bib/B31212785.
Texto completoPomerleau, François. "Registration algorithm optimized for simultaneous localization and mapping". Mémoire, Université de Sherbrooke, 2008. http://savoirs.usherbrooke.ca/handle/11143/1465.
Texto completoLibros sobre el tema "OPTIMIZER ALGORITHM"
W, Longman Richard y Langley Research Center, eds. Optimized system identification. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1999.
Buscar texto completoW, Longman Richard y Langley Research Center, eds. Optimized system identification. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1999.
Buscar texto completoC, Chung Wilson, Smith Mark J. T y United States. National Aeronautics and Space Administration., eds. Subband image coding with jointly optimized quantizers. [Washington, DC: National Aeronautics and Space Administration, 1995.
Buscar texto completoOliva, Diego y Erik Cuevas. Advances and Applications of Optimised Algorithms in Image Processing. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-48550-8.
Texto completoElliott, Donald M. Application of a genetic algorithm to optimize quality assurance in software development. Monterey, Calif: Naval Postgraduate School, 1993.
Buscar texto completoMartins, Tiago y Rui Neves. Stock Exchange Trading Using Grid Pattern Optimized by A Genetic Algorithm with Speciation. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76680-1.
Texto completoJet Propulsion Laboratory (U.S.), ed. A Doppler centroid estimation algorithm for SAR systems optimized for the quasi-homogeneous source. Pasadena, Calif: National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1990.
Buscar texto completoL, Palumbo Daniel y Langley Research Center, eds. Performance of optimized actuator and sensor arrays in an active noise control system. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1996.
Buscar texto completoCujec, Anne-Marie. An optimized bit cell design for a pipelined current-mode algorithmic A/D converter. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1992.
Buscar texto completoFenn, Sebastian. Optimised algorithms and circuit architectures for performance finite field arithmetic in Reed-Solomon codecs. Huddersfield: The University, 1993.
Buscar texto completoCapítulos de libros sobre el tema "OPTIMIZER ALGORITHM"
Xing, Bo y Wen-Jing Gao. "Group Search Optimizer Algorithm". En Innovative Computational Intelligence: A Rough Guide to 134 Clever Algorithms, 171–76. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-03404-1_12.
Texto completoMani, Melika, Omid Bozorg-Haddad y Xuefeng Chu. "Ant Lion Optimizer (ALO) Algorithm". En Advanced Optimization by Nature-Inspired Algorithms, 105–16. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5221-7_11.
Texto completoAbualigah, Laith, Nada Khalil Al-Okbi, Seyedali Mirjalili, Mohammad Alshinwan, Husam Al Hamad, Ahmad M. Khasawneh, Waheeb Abu-Ulbeh, Mohamed Abd Elaziz, Heming Jia y Amir H. Gandomi. "Moth-Flame Optimization Algorithm, Arithmetic Optimization Algorithm, Aquila Optimizer, Gray Wolf Optimizer, and Sine Cosine Algorithm". En Handbook of Moth-Flame Optimization Algorithm, 241–63. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003205326-16.
Texto completoMeiwal, Priyanka, Harish Sharma y Nirmala Sharma. "Fully Informed Grey Wolf Optimizer Algorithm". En Algorithms for Intelligent Systems, 497–512. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4936-6_55.
Texto completoSulaiman, Mohd Herwan, Zuriani Mustaffa, Mohd Mawardi Saari, Hamdan Daniyal, Ahmad Johari Mohamad, Mohd Rizal Othman y Mohd Rusllim Mohamed. "Barnacles Mating Optimizer Algorithm for Optimization". En Proceedings of the 10th National Technical Seminar on Underwater System Technology 2018, 211–18. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3708-6_18.
Texto completoShen, Hai, Yunlong Zhu, Wenping Zou y Zhu Zhu. "Group Search Optimizer Algorithm for Constrained Optimization". En Computer Science for Environmental Engineering and EcoInformatics, 48–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22691-5_9.
Texto completoBhesdadiya, R. H., Indrajit N. Trivedi, Pradeep Jangir, Arvind Kumar, Narottam Jangir y Rahul Totlani. "A Novel Hybrid Approach Particle Swarm Optimizer with Moth-Flame Optimizer Algorithm". En Advances in Computer and Computational Sciences, 569–77. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3770-2_53.
Texto completoHemmasian, Amir Pouya, Kazem Meidani, Seyedali Mirjalili y Amir Barati Farimani. "Accelerating Optimization Using Vectorized Moth-Flame Optimizer (vMFO)". En Handbook of Moth-Flame Optimization Algorithm, 97–109. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003205326-8.
Texto completoDoufene, Dyhia, Slimane Bouazabia, Sid A. Bessedik y Khaled Ouzzir. "Grey Wolf Optimizer Algorithm for Suspension Insulator Designing". En Proceedings of Sixth International Congress on Information and Communication Technology, 763–71. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2380-6_67.
Texto completoLeke, Collins Achepsah y Tshilidzi Marwala. "Missing Data Estimation Using Ant-Lion Optimizer Algorithm". En Studies in Big Data, 103–14. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01180-2_7.
Texto completoActas de conferencias sobre el tema "OPTIMIZER ALGORITHM"
Guangyou, Yang. "A Modified Particle Swarm Optimizer Algorithm". En 2007 8th International Conference on Electronic Measurement and Instruments. IEEE, 2007. http://dx.doi.org/10.1109/icemi.2007.4350772.
Texto completoZhao Xiaoqiang, Liu Weirong y Wang Jun. "Genetic Algorithm optimizer for blend planning". En 2008 Chinese Control Conference (CCC). IEEE, 2008. http://dx.doi.org/10.1109/chicc.2008.4605751.
Texto completoFang, Zhou, Xiangxiang Xu, Xin Li, Huizhen Yang y Chenglong Gong. "SPGD algorithm optimization based on Adam optimizer". En Conference on Optical Sensing and Imaging Technology, editado por Dong Liu, Xiangang Luo, Yadong Jiang y Jin Lu. SPIE, 2020. http://dx.doi.org/10.1117/12.2579991.
Texto completoZhang, Kang y Xingsheng Gu. "A Fast Global Group Search Optimizer algorithm". En 2014 IEEE International Conference on Information and Automation (ICIA). IEEE, 2014. http://dx.doi.org/10.1109/icinfa.2014.6932626.
Texto completoBo, Wang, Liang GuoQiang y Wang ChanLin. "D-S Algorithm Based on Particle Swarm Optimizer". En 2007 8th International Conference on Electronic Measurement and Instruments. IEEE, 2007. http://dx.doi.org/10.1109/icemi.2007.4350681.
Texto completoWang, Tianlei, Leqing Chen, Qimei Zhang, Xiaoxi Hao, Renju Liu y Yongwen Xie. "Improved sparrow search algorithm by hybrid equalization optimizer". En 2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS). IEEE, 2022. http://dx.doi.org/10.1109/icpics55264.2022.9873760.
Texto completoHaynes, David D. y Steven M. Corns. "Algorithm for a Tabu — Ant Colony Optimizer". En 2015 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2015. http://dx.doi.org/10.1109/cec.2015.7256935.
Texto completoR, Karthikeyan. "Grey Wolf Optimizer algorithm-based unit commitment problem". En 2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC). IEEE, 2020. http://dx.doi.org/10.1109/i-smac49090.2020.9243458.
Texto completoHou, Chunzhi, Jiarui Shi y Baohang Zhang. "Evolving Dendritic Neuron Model by Equilibrium Optimizer Algorithm". En 2021 IEEE International Conference on Progress in Informatics and Computing (PIC). IEEE, 2021. http://dx.doi.org/10.1109/pic53636.2021.9687084.
Texto completoGiftson Joy, John Abish y Robello Samuel. "Fast Drilling Optimizer for Drilling Automation". En SPE Western Regional Meeting. SPE, 2021. http://dx.doi.org/10.2118/200881-ms.
Texto completoInformes sobre el tema "OPTIMIZER ALGORITHM"
Bennaoui, Ahmed, AISSA AMEUR y SLAMI SAADI. Moth-Flame Optimizer Algorithm For Optimal Of Fuzzy Logic Controller for nonlinear system. Peeref, abril de 2023. http://dx.doi.org/10.54985/peeref.2304p4802037.
Texto completoWenren, Yonghu, Joon Lim, Luke Allen, Robert Haehnel y Ian Dettwiler. Helicopter rotor blade planform optimization using parametric design and multi-objective genetic algorithm. Engineer Research and Development Center (U.S.), diciembre de 2022. http://dx.doi.org/10.21079/11681/46261.
Texto completoHorrocks, Ian y Ulrike Sattler. Optimised Reasoning for SHIQ. Aachen University of Technology, 2001. http://dx.doi.org/10.25368/2022.118.
Texto completoMoore, Frank, Brendan Babb, Steven Becke, Heather Koyuk, Earl Lamson, Wedge III y Christopher. Genetic Algorithms Evolve Optimized Transforms for Signal Processing Applications. Fort Belvoir, VA: Defense Technical Information Center, abril de 2005. http://dx.doi.org/10.21236/ada437529.
Texto completoQi, Fei, Zhaohui Xia, Gaoyang Tang, Hang Yang, Yu Song, Guangrui Qian, Xiong An, Chunhuan Lin y Guangming Shi. A Graph-based Evolutionary Algorithm for Automated Machine Learning. Web of Open Science, diciembre de 2020. http://dx.doi.org/10.37686/ser.v1i2.77.
Texto completoJohnson, V. M. y L. L. Rogers. Using artifical neutral networks and the genetic algorithm to optimize well-field design: Phase I. Office of Scientific and Technical Information (OSTI), marzo de 1998. http://dx.doi.org/10.2172/3385.
Texto completoCowell, Luke y Ivan Carlos. PR-283-18202-R01 Improved SoLoNox T70S and T130S Controls to Reduce Part Load Emissions. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), febrero de 2021. http://dx.doi.org/10.55274/r0012019.
Texto completoSullivan, Jr, Lai John M. y Q. Application of Neural Networks Coupled with Genetic Algorithms to Optimize Soil Cleanup Operations in Cold Climates. Fort Belvoir, VA: Defense Technical Information Center, diciembre de 1998. http://dx.doi.org/10.21236/ada637453.
Texto completoBaader, Franz y Barbara Morawska. SAT Encoding of Unification in EL. Technische Universität Dresden, 2010. http://dx.doi.org/10.25368/2022.177.
Texto completoMahowald, Natalie. Collaborative Project: Building improved optimized parameter estimation algorithms to improve methane and nitrogen fluxes in a climate model. Office of Scientific and Technical Information (OSTI), noviembre de 2016. http://dx.doi.org/10.2172/1333698.
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