Artículos de revistas sobre el tema "HYBRIDIZATION PSO+MSVM ALGORITHM"
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Masrom, Suraya, Abdullah Sani Abd Rahman, Nasiroh Omar y Suriani Rapa’ee. "PSO-GAScript: A Domain-specific Scripting Language for Meta-heuristics Algorithm". International Journal of Emerging Technology and Advanced Engineering 12, n.º 7 (4 de julio de 2022): 86–93. http://dx.doi.org/10.46338/ijetae0722_09.
Texto completoGautam, Divya. "SECURING MOBILE ADHOC NETWORKS AND CLOUD ENVIRONMENT". International Journal of Engineering Technologies and Management Research 5, n.º 2 (27 de abril de 2020): 84–89. http://dx.doi.org/10.29121/ijetmr.v5.i2.2018.617.
Texto completoWang, Yuheng, Kashif Habib, Abdul Wadood y Shahbaz Khan. "The Hybridization of PSO for the Optimal Coordination of Directional Overcurrent Protection Relays of the IEEE Bus System". Energies 16, n.º 9 (26 de abril de 2023): 3726. http://dx.doi.org/10.3390/en16093726.
Texto completoJain, Meetu, Vibha Saihjpal, Narinder Singh y Satya Bir Singh. "An Overview of Variants and Advancements of PSO Algorithm". Applied Sciences 12, n.º 17 (23 de agosto de 2022): 8392. http://dx.doi.org/10.3390/app12178392.
Texto completoMichaloglou, Alkmini y Nikolaos L. Tsitsas. "A Brain Storm and Chaotic Accelerated Particle Swarm Optimization Hybridization". Algorithms 16, n.º 4 (13 de abril de 2023): 208. http://dx.doi.org/10.3390/a16040208.
Texto completoAdhikari, Ratnadip y R. K. Agrawal. "Hybridization of Artificial Neural Network and Particle Swarm Optimization Methods for Time Series Forecasting". International Journal of Applied Evolutionary Computation 4, n.º 3 (julio de 2013): 75–90. http://dx.doi.org/10.4018/jaec.2013070107.
Texto completoLenin, K. "HYBRIDIZATION OF ANT COLONY ALGORITHM AND PARTICLE SWARM OPTIMIZATION ALGORITHM FOR REDUCTION OF REAL POWER LOSS". International Journal of Research -GRANTHAALAYAH 6, n.º 12 (31 de diciembre de 2018): 121–27. http://dx.doi.org/10.29121/granthaalayah.v6.i12.2018.1092.
Texto completoBi, Ya, Anthony Lam, Huiqun Quan, Hui Liu y Cunfa Wang. "A comprehensively improved particle swarm optimization algotithm to guarantee particle activity". Izvestiya vysshikh uchebnykh zavedenii. Fizika, n.º 5 (2021): 94–101. http://dx.doi.org/10.17223/00213411/64/5/94.
Texto completoZhang, Yudong, Shuihua Wang y Genlin Ji. "A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications". Mathematical Problems in Engineering 2015 (2015): 1–38. http://dx.doi.org/10.1155/2015/931256.
Texto completoXiao, Heng, Yokoya y Toshiharu Hatanaka. "Multifactorial Particle Swarm Optimization Enhanced by Hybridization With Firefly Algorithm". International Journal of Swarm Intelligence Research 12, n.º 3 (julio de 2021): 172–87. http://dx.doi.org/10.4018/ijsir.2021070108.
Texto completoCherki, Imene, Abdelkader Chaker, Zohra Djidar, Naima Khalfallah y Fadela Benzergua. "A Sequential Hybridization of Genetic Algorithm and Particle Swarm Optimization for the Optimal Reactive Power Flow". Sustainability 11, n.º 14 (16 de julio de 2019): 3862. http://dx.doi.org/10.3390/su11143862.
Texto completoSahli, Z., A. Hamouda, S. Sayah, D. Trentesaux y A. Bekrar. "Efficient Hybrid Algorithm Solution for Optimal Reactive Power Flow Using the Sensitive Bus Approach". Engineering, Technology & Applied Science Research 12, n.º 1 (12 de febrero de 2022): 8210–16. http://dx.doi.org/10.48084/etasr.4680.
Texto completoGayatri, R. y N. Baskar. "Evaluating Process Parameters of Multi-Pass Turning Process Using Hybrid Genetic Simulated Swarm Algorithm". Journal of Advanced Manufacturing Systems 14, n.º 04 (29 de septiembre de 2015): 215–33. http://dx.doi.org/10.1142/s0219686715500146.
Texto completoJunian, Wahyu Eko y Hendra Grandis. "HYBRID PARTICLE SWARM OPTIMIZATION AND GREY WOLF OPTIMIZER ALGORITHM FOR CONTROLLED SOURCE AUDIO-FREQUENCY MAGNETOTELLURICS (CSAMT) ONE-DIMENSIONAL INVERSION MODELLING". Rudarsko-geološko-naftni zbornik 38, n.º 3 (2023): 65–80. http://dx.doi.org/10.17794/rgn.2023.3.6.
Texto completoXiao, Heng y Toshiharu Hatanaka. "Model Selecting PSO-FA Hybrid for Complex Function Optimization". International Journal of Swarm Intelligence Research 12, n.º 3 (julio de 2021): 215–32. http://dx.doi.org/10.4018/ijsir.2021070110.
Texto completoZheng, Yukun, Ruyue Sun, Yixiang Liu, Yanhong Wang, Rui Song y Yibin Li. "A Hybridization Grey Wolf Optimizer to Identify Parameters of Helical Hydraulic Rotary Actuator". Actuators 12, n.º 6 (25 de mayo de 2023): 220. http://dx.doi.org/10.3390/act12060220.
Texto completoLenin, K. "BANKS CAPACITOR COMPENSATION FOR CRITICAL NODAL DETECTION BY AUGMENTED RED WOLF OPTIMIZATION ALGORITHM". International Journal of Research -GRANTHAALAYAH 6, n.º 10 (31 de octubre de 2018): 169–75. http://dx.doi.org/10.29121/granthaalayah.v6.i10.2018.1175.
Texto completoCavalcanti-Júnior, George M., Fernando B. Lima-Neto y Carmelo J. A. Bastos-Filho. "On the Analysis of HPSO Improvement by Use of the Volitive Operator of Fish School Search". International Journal of Swarm Intelligence Research 4, n.º 1 (enero de 2013): 62–77. http://dx.doi.org/10.4018/jsir.2013010103.
Texto completoChen, Q., J. Jiang, M. Du, L. Zhou, C. Jing y C. Lu. "A HYBRIDIZATION OF AN IMPROVED PARTICLE SWARM OPTIMIZATION AND FUZZY K-MEANS ALGORITHM FOR HYPERSPECTRAL IMAGE CLASSIFICATION". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W13 (5 de junio de 2019): 1833–39. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w13-1833-2019.
Texto completoLenin, K. "ACTIVE POWER LOSS DIMINUTION & VOLTAGE STABILITY ENHANCEMENT BY RED WOLF OPTIMIZATION ALGORITHM". International Journal of Research -GRANTHAALAYAH 6, n.º 11 (30 de noviembre de 2018): 355–65. http://dx.doi.org/10.29121/granthaalayah.v6.i11.2018.1139.
Texto completoWu, Tie Bin, Tao Yun Zhou, Wen Li, Gao Feng Zhu y Yun Lian Liu. "Particle Swarm Algorithm Based on Boundary Buffering-Natural Evolution and its Application in Constrained Optimization". Applied Mechanics and Materials 670-671 (octubre de 2014): 1517–21. http://dx.doi.org/10.4028/www.scientific.net/amm.670-671.1517.
Texto completoKoyuncu, Hasan y Rahime Ceylan. "A PSO based approach: Scout particle swarm algorithm for continuous global optimization problems". Journal of Computational Design and Engineering 6, n.º 2 (27 de agosto de 2018): 129–42. http://dx.doi.org/10.1016/j.jcde.2018.08.003.
Texto completoJiang, Shanhe, Chaolong Zhang y Shijun Chen. "Sequential Hybrid Particle Swarm Optimization and Gravitational Search Algorithm with Dependent Random Coefficients". Mathematical Problems in Engineering 2020 (21 de abril de 2020): 1–17. http://dx.doi.org/10.1155/2020/1957812.
Texto completoBao, Zongfan, Yongquan Zhou, Liangliang Li y Mingzhi Ma. "A Hybrid Global Optimization Algorithm Based on Wind Driven Optimization and Differential Evolution". Mathematical Problems in Engineering 2015 (2015): 1–20. http://dx.doi.org/10.1155/2015/389630.
Texto completoRosić, Maja, Miloš Sedak, Mirjana Simić y Predrag Pejović. "Chaos-Enhanced Adaptive Hybrid Butterfly Particle Swarm Optimization Algorithm for Passive Target Localization". Sensors 22, n.º 15 (31 de julio de 2022): 5739. http://dx.doi.org/10.3390/s22155739.
Texto completoOng, Bun Theang y Masao Fukushima. "Automatically Terminated Particle Swarm Optimization with Principal Component Analysis". International Journal of Information Technology & Decision Making 14, n.º 01 (enero de 2015): 171–94. http://dx.doi.org/10.1142/s0219622014500837.
Texto completoChutani, Sonia y Jagbir Singh. "Optimal Design of RC Frames using a Modified Hybrid PSOGSA Algorithm". Archives of Civil Engineering 63, n.º 4 (1 de diciembre de 2017): 123–34. http://dx.doi.org/10.1515/ace-2017-0044.
Texto completoTing, T. O., H. C. Ting y T. S. Lee. "Taguchi-Particle Swarm Optimization for Numerical Optimization". International Journal of Swarm Intelligence Research 1, n.º 2 (abril de 2010): 18–33. http://dx.doi.org/10.4018/jsir.2010040102.
Texto completoLenin, K. "REAL POWER LOSS REDUCTION BY ENHANCED ACCLIMATIZED BACTERIAL EXPLORATION ALGORITHM". International Journal of Research -GRANTHAALAYAH 6, n.º 3 (31 de marzo de 2018): 182–90. http://dx.doi.org/10.29121/granthaalayah.v6.i3.2018.1513.
Texto completoLenin, K. "REAL POWER LOSS REDUCTION & VOLTAGE STABILITY AMPLIFICATION BY HYBRIDIZATION OF RESTARTED SIMULATED ANNEALING WITH PARTICLE SWARM OPTIMIZATION ALGORITHM". International Journal of Research -GRANTHAALAYAH 6, n.º 9 (30 de septiembre de 2018): 246–58. http://dx.doi.org/10.29121/granthaalayah.v6.i9.2018.1229.
Texto completoMammeri, E., A. Ahriche, A. Necaibia y A. Bouraiou. "New MPPT Hybrid Controller based on Genetic Algorithms and Particle Swarm Optimization for Photovoltaic Systems". International Journal of Circuits, Systems and Signal Processing 17 (6 de marzo de 2023): 83–91. http://dx.doi.org/10.46300/9106.2023.17.10.
Texto completoVenkatesan, Chandrasekaran, Raju Kannadasan, Dhanasekar Ravikumar, Vijayaraja Loganathan, Mohammed H. Alsharif, Daeyong Choi, Junhee Hong y Zong Woo Geem. "Re-Allocation of Distributed Generations Using Available Renewable Potential Based Multi-Criterion-Multi-Objective Hybrid Technique". Sustainability 13, n.º 24 (12 de diciembre de 2021): 13709. http://dx.doi.org/10.3390/su132413709.
Texto completoLenin, K. "ACTIVE POWER LOSS REDUCTION BY ASSORTED ALGORITHMS". International Journal of Research -GRANTHAALAYAH 6, n.º 5 (31 de mayo de 2018): 263–75. http://dx.doi.org/10.29121/granthaalayah.v6.i5.2018.1448.
Texto completoHayat, Iqbal, Adnan Tariq, Waseem Shahzad, Manzar Masud, Shahzad Ahmed, Muhammad Umair Ali y Amad Zafar. "Hybridization of Particle Swarm Optimization with Variable Neighborhood Search and Simulated Annealing for Improved Handling of the Permutation Flow-Shop Scheduling Problem". Systems 11, n.º 5 (26 de abril de 2023): 221. http://dx.doi.org/10.3390/systems11050221.
Texto completoAljohani, Tawfiq M., Ahmed F. Ebrahim y Osama Mohammed. "Single and Multiobjective Optimal Reactive Power Dispatch Based on Hybrid Artificial Physics–Particle Swarm Optimization". Energies 12, n.º 12 (18 de junio de 2019): 2333. http://dx.doi.org/10.3390/en12122333.
Texto completoDif, Nassima y Zakaria Elberrichi. "A Novel Dynamic Hybridization Method for Best Feature Selection". International Journal of Applied Metaheuristic Computing 12, n.º 2 (abril de 2021): 85–99. http://dx.doi.org/10.4018/ijamc.2021040106.
Texto completoRamírez-Ochoa, Dynhora-Danheyda, Luis Asunción Pérez-Domínguez, Erwin-Adán Martínez-Gómez y David Luviano-Cruz. "PSO, a Swarm Intelligence-Based Evolutionary Algorithm as a Decision-Making Strategy: A Review". Symmetry 14, n.º 3 (24 de febrero de 2022): 455. http://dx.doi.org/10.3390/sym14030455.
Texto completoSengupta, Saptarshi, Sanchita Basak y Richard Peters. "Particle Swarm Optimization: A Survey of Historical and Recent Developments with Hybridization Perspectives". Machine Learning and Knowledge Extraction 1, n.º 1 (10 de octubre de 2018): 157–91. http://dx.doi.org/10.3390/make1010010.
Texto completoLenin, Kanagasabai. "Hybridization of Genetic Particle Swarm Optimization Algorithm with Symbiotic Organisms Search Algorithm for Solving Optimal Reactive Power Dispatch Problem". Journal of Applied Science, Engineering, Technology, and Education 3, n.º 1 (20 de junio de 2020): 12–21. http://dx.doi.org/10.35877/454ri.asci31106.
Texto completoUtamima, Amalia y Angelia Melani Andrian. "Penyelesaian Masalah Penempatan Fasilitas dengan Algoritma Estimasi Distribusi dan Particle Swarm Optimization". Journal of Information Systems Engineering and Business Intelligence 2, n.º 1 (29 de abril de 2016): 11. http://dx.doi.org/10.20473/jisebi.2.1.11-16.
Texto completoChopra, Namarta, Y. S. Brar y J. S. Dhillon. "Hybridized Particle Swarm Optimization on Constrained Economic Dispatch Problem". Journal of Computational and Theoretical Nanoscience 17, n.º 1 (1 de enero de 2020): 322–28. http://dx.doi.org/10.1166/jctn.2020.8669.
Texto completoSantos, Pitther N., Victor Dmitriev y Karlo Q. da Costa. "Optimization of Modified Yagi-Uda Nanoantenna Arrays Using Adaptive Fuzzy GAPSO". International Journal of Antennas and Propagation 2021 (17 de febrero de 2021): 1–11. http://dx.doi.org/10.1155/2021/8874385.
Texto completoPluhacek, Michal, Adam Viktorin, Roman Senkerik, Tomas Kadavy y Ivan Zelinka. "Extended experimental study on PSO with partial population restart based on complex network analysis". Logic Journal of the IGPL 28, n.º 2 (1 de octubre de 2018): 211–25. http://dx.doi.org/10.1093/jigpal/jzy046.
Texto completoRiaz, Muhammad, Aamir Hanif, Shaik Javeed Hussain, Muhammad Irfan Memon, Muhammad Umair Ali y Amad Zafar. "An Optimization-Based Strategy for Solving Optimal Power Flow Problems in a Power System Integrated with Stochastic Solar and Wind Power Energy". Applied Sciences 11, n.º 15 (27 de julio de 2021): 6883. http://dx.doi.org/10.3390/app11156883.
Texto completoMangalampalli, Sudheer, Vamsi Krishna Mangalampalli y Sangram Keshari Swain. "Multi Objective Task Scheduling Algorithm in Cloud Computing Using the Hybridization of Particle Swarm Optimization and Cuckoo Search". Journal of Computational and Theoretical Nanoscience 17, n.º 12 (1 de diciembre de 2020): 5346–57. http://dx.doi.org/10.1166/jctn.2020.9427.
Texto completoABDERRAHIM, ALLANI, EL-GHAZALI TALBI y MELLOULI KHALED. "HYBRIDIZATION OF GENETIC AND QUANTUM ALGORITHM FOR GENE SELECTION AND CLASSIFICATION OF MICROARRAY DATA". International Journal of Foundations of Computer Science 23, n.º 02 (febrero de 2012): 431–44. http://dx.doi.org/10.1142/s0129054112400217.
Texto completoHachimi, H., S. Assif, Y. Aoues, Abdelkhalak El Hami, Rachid Ellaia y M. Agouzoul. "Optimization of the Solder Joints of an Electronic Card Using Heuristic Algorithm". International Journal of Engineering Research in Africa 30 (mayo de 2017): 39–48. http://dx.doi.org/10.4028/www.scientific.net/jera.30.39.
Texto completoHameed, Mohammed Majeed, Mustafa Abbas Abed, Nadhir Al-Ansari y Mohamed Khalid Alomar. "Predicting Compressive Strength of Concrete Containing Industrial Waste Materials: Novel and Hybrid Machine Learning Model". Advances in Civil Engineering 2022 (23 de marzo de 2022): 1–19. http://dx.doi.org/10.1155/2022/5586737.
Texto completoSabeti, Malihe, Laleh Karimi, Naemeh Honarvar, Mahsa Taghavi y Reza Boostani. "QUANTUMIZED GENETIC ALGORITHM FOR SEGMENTATION AND OPTIMIZATION TASKS". Biomedical Engineering: Applications, Basis and Communications 32, n.º 03 (junio de 2020): 2050022. http://dx.doi.org/10.4015/s1016237220500222.
Texto completoLakhbab, Halima. "A Novel Hybrid Approach for Optimizing the Localization of Wireless Sensor Networks". MATEC Web of Conferences 200 (2018): 00005. http://dx.doi.org/10.1051/matecconf/201820000005.
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