Zeitschriftenartikel zum Thema „Optimization algorithms“
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Celik, Yuksel, und Erkan Ulker. „An Improved Marriage in Honey Bees Optimization Algorithm for Single Objective Unconstrained Optimization“. Scientific World Journal 2013 (2013): 1–11. http://dx.doi.org/10.1155/2013/370172.
Luan, Yuxuan, Junjiang He, Jingmin Yang, Xiaolong Lan und Geying Yang. „Uniformity-Comprehensive Multiobjective Optimization Evolutionary Algorithm Based on Machine Learning“. International Journal of Intelligent Systems 2023 (10.11.2023): 1–21. http://dx.doi.org/10.1155/2023/1666735.
Wen, Xiaodong, Xiangdong Liu, Cunhui Yu, Haoning Gao, Jing Wang, Yongji Liang, Jiangli Yu und Yan Bai. „IOOA: A multi-strategy fusion improved Osprey Optimization Algorithm for global optimization“. Electronic Research Archive 32, Nr. 3 (2024): 2033–74. http://dx.doi.org/10.3934/era.2024093.
Kim, Minsu, Areum Han, Jaewon Lee, Sunghyun Cho, Il Moon und Jonggeol Na. „Comparison of Derivative-Free Optimization: Energy Optimization of Steam Methane Reforming Process“. International Journal of Energy Research 2023 (03.06.2023): 1–20. http://dx.doi.org/10.1155/2023/8868540.
Priyadarshini, Ishaani. „Dendritic Growth Optimization: A Novel Nature-Inspired Algorithm for Real-World Optimization Problems“. Biomimetics 9, Nr. 3 (21.02.2024): 130. http://dx.doi.org/10.3390/biomimetics9030130.
RAO, Xiong, Run DU, Wenming CHENG und Yi YANG. „Modified proportional topology optimization algorithm for multiple optimization problems“. Mechanics 30, Nr. 1 (23.02.2024): 36–45. http://dx.doi.org/10.5755/j02.mech.34367.
Gireesha. B, Mr, und . „A Literature Survey on Artificial Swarm Intelligence based Optimization Techniques“. International Journal of Engineering & Technology 7, Nr. 4.5 (22.09.2018): 455. http://dx.doi.org/10.14419/ijet.v7i4.5.20205.
Acherjee, Bappa, Debanjan Maity und Arunanshu S. Kuar. „Ultrasonic Machining Process Optimization by Cuckoo Search and Chicken Swarm Optimization Algorithms“. International Journal of Applied Metaheuristic Computing 11, Nr. 2 (April 2020): 1–26. http://dx.doi.org/10.4018/ijamc.2020040101.
Alfarhisi, Zikrie Pramudia, Hadi Suyono und Fakhriy Hario Partiansyah. „4G LTE Network Coverage Optimization Using Metaheuristic Approach“. International Journal of Computer Applications Technology and Researc 10, Nr. 01 (01.01.2021): 010–13. http://dx.doi.org/10.7753/ijcatr1001.1003.
Si, Binghui, Feng Liu und Yanxia Li. „Metamodel-Based Hyperparameter Optimization of Optimization Algorithms in Building Energy Optimization“. Buildings 13, Nr. 1 (09.01.2023): 167. http://dx.doi.org/10.3390/buildings13010167.
Arıcı, FerdaNur, und Ersin Kaya. „Comparison of Meta-heuristic Algorithms on Benchmark Functions“. Academic Perspective Procedia 2, Nr. 3 (22.11.2019): 508–17. http://dx.doi.org/10.33793/acperpro.02.03.41.
Cui-Cui Cai, Cui-Cui Cai, Mao-Sheng Fu Cui-Cui Cai, Xian-Meng Meng Mao-Sheng Fu, Qi-Jian Wang Xian-Meng Meng und Yue-Qin Wang Qi-Jian Wang. „Modified Harris Hawks Optimization Algorithm with Multi-strategy for Global Optimization Problem“. 電腦學刊 34, Nr. 6 (Dezember 2023): 091–105. http://dx.doi.org/10.53106/199115992023123406007.
Zou, Tingting, und Changyu Wang. „Adaptive Relative Reflection Harris Hawks Optimization for Global Optimization“. Mathematics 10, Nr. 7 (02.04.2022): 1145. http://dx.doi.org/10.3390/math10071145.
Hao, Shangqing, Xuewen Wang, Jiacheng Xie und Zhaojian Yang. „Rigid framework section parameter optimization and optimization algorithm research“. Transactions of the Canadian Society for Mechanical Engineering 43, Nr. 3 (01.09.2019): 398–404. http://dx.doi.org/10.1139/tcsme-2018-0085.
Liang, Jianhui, Lifang Wang und Miao Ma. „An Adaptive Dual-Population Collaborative Chicken Swarm Optimization Algorithm for High-Dimensional Optimization“. Biomimetics 8, Nr. 2 (19.05.2023): 210. http://dx.doi.org/10.3390/biomimetics8020210.
Manikandan, K., und B. Sudhakar. „Hybrid Optimization Algorithm for Multi-level Image Thresholding Using Salp Swarm Optimization Algorithm and Ant Colony Optimization“. International Journal of Electrical and Electronic Engineering & Telecommunications 12, Nr. 6 (2023): 411–23. http://dx.doi.org/10.18178/ijeetc.12.6.411-423.
Belazi, Akram, Héctor Migallón, Daniel Gónzalez-Sánchez, Jorge Gónzalez-García, Antonio Jimeno-Morenilla und José-Luis Sánchez-Romero. „Enhanced Parallel Sine Cosine Algorithm for Constrained and Unconstrained Optimization“. Mathematics 10, Nr. 7 (03.04.2022): 1166. http://dx.doi.org/10.3390/math10071166.
López, Luis Fernando de Mingo, Francisco Serradilla García, José Eugenio Naranjo Hernández und Nuria Gómez Blas. „Speed Proportional Integrative Derivative Controller: Optimization Functions in Metaheuristic Algorithms“. Journal of Advanced Transportation 2021 (03.11.2021): 1–12. http://dx.doi.org/10.1155/2021/5538296.
Zhang, Chuang, Yue-Han Pei, Xiao-Xue Wang, Hong-Yu Hou und Li-Hua Fu. „Symmetric cross-entropy multi-threshold color image segmentation based on improved pelican optimization algorithm“. PLOS ONE 18, Nr. 6 (29.06.2023): e0287573. http://dx.doi.org/10.1371/journal.pone.0287573.
Pan, Jeng-Shyang, Zhen Zhang, Shu-Chuan Chu, Zne-Jung Lee und Wei Li. „Application of Diversity-Maintaining Adaptive Rafflesia Optimization Algorithm to Engineering Optimisation Problems“. Symmetry 15, Nr. 11 (16.11.2023): 2077. http://dx.doi.org/10.3390/sym15112077.
ARICI, Ferda Nur, und Ersin KAYA. „Hierarchical Approaches to Solve Optimization Problems“. Academic Platform Journal of Engineering and Smart Systems 10, Nr. 3 (30.09.2022): 124–39. http://dx.doi.org/10.21541/apjess.1065912.
Elhossini, Ahmed, Shawki Areibi und Robert Dony. „Strength Pareto Particle Swarm Optimization and Hybrid EA-PSO for Multi-Objective Optimization“. Evolutionary Computation 18, Nr. 1 (März 2010): 127–56. http://dx.doi.org/10.1162/evco.2010.18.1.18105.
Kaya, Ebubekir, Ceren Baştemur Kaya, Emre Bendeş, Sema Atasever, Başak Öztürk und Bilgin Yazlık. „Training of Feed-Forward Neural Networks by Using Optimization Algorithms Based on Swarm-Intelligent for Maximum Power Point Tracking“. Biomimetics 8, Nr. 5 (01.09.2023): 402. http://dx.doi.org/10.3390/biomimetics8050402.
Coufal, Petr, Štěpán Hubálovský, Marie Hubálovská und Zoltan Balogh. „Snow Leopard Optimization Algorithm: A New Nature-Based Optimization Algorithm for Solving Optimization Problems“. Mathematics 9, Nr. 21 (08.11.2021): 2832. http://dx.doi.org/10.3390/math9212832.
Pan, Anqi, Hongjun Tian, Lei Wang und Qidi Wu. „A Decomposition-Based Unified Evolutionary Algorithm for Many-Objective Problems Using Particle Swarm Optimization“. Mathematical Problems in Engineering 2016 (2016): 1–15. http://dx.doi.org/10.1155/2016/6761545.
D., KARDASH, und KOLLAROV O. „Solving optimization problems in energy with genetic algorithm.“ Journal of Electrical and power engineering 28, Nr. 1 (29.06.2023): 37–41. http://dx.doi.org/10.31474/2074-2630-2023-1-37-41.
Sabery, Ghulam Ali, Ghulam Hassan Danishyar und Ghulam Sarwar Mubarez. „A Comparative Study of Metaheuristic Optimization Algorithms for Solving Engineering Design Problems“. Journal of Mathematics and Statistics Studies 4, Nr. 4 (04.11.2023): 56–69. http://dx.doi.org/10.32996/jmss.2023.4.4.6.
Abdulrahman, Abdulrahman, Ziad Mohammed .., Ahmed Mohamed Zaki, Faris H. H.Rizk, Marwa M. Eid und EL-Sayed M. EL EL-Kenawy. „Exploring Optimization Algorithms: A Review of Methods and Applications“. Journal of Artificial Intelligence and Metaheuristics 7, Nr. 2 (2024): 08–17. http://dx.doi.org/10.54216/jaim.070201.
Aleardi, Mattia, Silvio Pierini und Angelo Sajeva. „Assessing the performances of recent global search algorithms using analytic objective functions and seismic optimization problems“. GEOPHYSICS 84, Nr. 5 (01.09.2019): R767—R781. http://dx.doi.org/10.1190/geo2019-0111.1.
Shi, Yuhui, Jingqian Xue und Yali Wu. „Multi-Objective Optimization Based on Brain Storm Optimization Algorithm“. International Journal of Swarm Intelligence Research 4, Nr. 3 (Juli 2013): 1–21. http://dx.doi.org/10.4018/ijsir.2013070101.
Che, Yanhui, und Dengxu He. „A Hybrid Whale Optimization with Seagull Algorithm for Global Optimization Problems“. Mathematical Problems in Engineering 2021 (28.01.2021): 1–31. http://dx.doi.org/10.1155/2021/6639671.
HOSSAİN, Md Al Amin, und Züleyha YILMAZ ACAR. „Comparison of New and Old Optimization Algorithms for Traveling Salesman Problem on Small, Medium, and Large-scale Benchmark Instances“. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi 13, Nr. 1 (29.12.2023): 216–31. http://dx.doi.org/10.17798/bitlisfen.1380086.
Akyol, Sinem, Muhammed Yildirim und Bilal Alatas. „CIDO: Chaotically Initialized Dandelion Optimization for Global Optimization“. International Journal of Advanced Networking and Applications 14, Nr. 06 (2023): 5696–704. http://dx.doi.org/10.35444/ijana.2023.14606.
Yao, Jinyan, Yongbai Sha, Yanli Chen und Xiaoying Zhao. „A Novel Ensemble of Arithmetic Optimization Algorithm and Harris Hawks Optimization for Solving Industrial Engineering Optimization Problems“. Machines 10, Nr. 8 (24.07.2022): 602. http://dx.doi.org/10.3390/machines10080602.
Kota, László, und Károly Jármai. „Improving optimization using adaptive algorithms“. Pollack Periodica 16, Nr. 1 (25.03.2021): 14–18. http://dx.doi.org/10.1556/606.2020.00180.
Deepak, Malini, und Rabee Rustum. „Review of Latest Advances in Nature-Inspired Algorithms for Optimization of Activated Sludge Processes“. Processes 11, Nr. 1 (28.12.2022): 77. http://dx.doi.org/10.3390/pr11010077.
Kaya, Ersin, Alper Kılıç, İsmail Babaoğlu und Ahmet Babalık. „FUZZY ADAPTIVE WHALE OPTIMIZATION ALGORITHM FOR NUMERIC OPTIMIZATION“. Malaysian Journal of Computer Science 34, Nr. 2 (30.04.2021): 184–98. http://dx.doi.org/10.22452/mjcs.vol34no2.4.
Wang, Yi, und Kangshun Li. „A Lévy Flight-Inspired Random Walk Algorithm for Continuous Fitness Landscape Analysis“. International Journal of Cognitive Informatics and Natural Intelligence 17, Nr. 1 (21.09.2023): 1–18. http://dx.doi.org/10.4018/ijcini.330535.
Shu-Chuan Chu, Shu-Chuan Chu, Qing Feng Shu-Chuan Chu, Jia Zhao Qing Feng und Jeng-Shyang Pan Jia Zhao. „BFGO: Bamboo Forest Growth Optimization Algorithm“. 網際網路技術學刊 24, Nr. 1 (Januar 2023): 001–10. http://dx.doi.org/10.53106/160792642023012401001.
Brooks, Stephen P. „Algorithms AS 298: A Hybrid Optimization Algorithm“. Applied Statistics 44, Nr. 4 (1995): 530. http://dx.doi.org/10.2307/2986143.
Chatain, Peter, Rocky Garg und Lauren Tompkins. „Evolutionary Algorithms for Tracking Algorithm Parameter Optimization“. EPJ Web of Conferences 251 (2021): 03071. http://dx.doi.org/10.1051/epjconf/202125103071.
Soghrati, F., und R. Moeini. „Deriving optimal operation of reservoir proposing improved artificial bee colony algorithm: standard and constrained versions“. Journal of Hydroinformatics 22, Nr. 2 (24.12.2019): 263–80. http://dx.doi.org/10.2166/hydro.2019.125.
Behera, Mandakini, Archana Sarangi, Debahuti Mishra, Pradeep Kumar Mallick, Jana Shafi, Parvathaneni Naga Srinivasu und Muhammad Fazal Ijaz. „Automatic Data Clustering by Hybrid Enhanced Firefly and Particle Swarm Optimization Algorithms“. Mathematics 10, Nr. 19 (28.09.2022): 3532. http://dx.doi.org/10.3390/math10193532.
Dehghani, Mohammad, Zeinab Montazeri, Gaurav Dhiman, O. P. Malik, Ruben Morales-Menendez, Ricardo A. Ramirez-Mendoza, Ali Dehghani, Josep M. Guerrero und Lizeth Parra-Arroyo. „A Spring Search Algorithm Applied to Engineering Optimization Problems“. Applied Sciences 10, Nr. 18 (04.09.2020): 6173. http://dx.doi.org/10.3390/app10186173.
Schutte, Jaco F., Byung-Il Koh, Jeffrey A. Reinbolt, Raphael T. Haftka, Alan D. George und Benjamin J. Fregly. „Evaluation of a Particle Swarm Algorithm For Biomechanical Optimization“. Journal of Biomechanical Engineering 127, Nr. 3 (31.01.2005): 465–74. http://dx.doi.org/10.1115/1.1894388.
Vanitha, K., B. Jyothi, R. Seshu Kumar, V. S. Chandrika, Arvind R. Singh und R. M. Naidoo. „A Quantum-Inspired Optimization Strategy for Optimal Dispatch to Increase Heat and Power Efficiency“. Journal of Engineering 2024 (30.05.2024): 1–14. http://dx.doi.org/10.1155/2024/6665062.
S, Gajawada. „Lord Rama Devotees Algorithm: A New Human-Inspired Metaheuristic Optimization Algorithm“. Advances in Robotic Technology 1, Nr. 1 (02.10.2023): 1–2. http://dx.doi.org/10.23880/art-16000105.
Almotairi, Sultan, Elsayed Badr, Mustafa Abdul Salam und Alshimaa Dawood. „Three Chaotic Strategies for Enhancing the Self-Adaptive Harris Hawk Optimization Algorithm for Global Optimization“. Mathematics 11, Nr. 19 (06.10.2023): 4181. http://dx.doi.org/10.3390/math11194181.
Dehghani, Mohammad, und Pavel Trojovský. „Teamwork Optimization Algorithm: A New Optimization Approach for Function Minimization/Maximization“. Sensors 21, Nr. 13 (03.07.2021): 4567. http://dx.doi.org/10.3390/s21134567.
Tian, Tao, Zhiwei Liang, Yuanfei Wei, Qifang Luo und Yongquan Zhou. „Hybrid Whale Optimization with a Firefly Algorithm for Function Optimization and Mobile Robot Path Planning“. Biomimetics 9, Nr. 1 (08.01.2024): 39. http://dx.doi.org/10.3390/biomimetics9010039.