Výsledky vyhledávání - "multi‐objective seagull optimization algorithm"

Optimization of machining efficiency and side quality in irregular sheet metal parts milling based on improved multi-objective seagull optimization algorithm

Autoři: Xiaohui Chen Dezhan Shen Chengyi Ou a další

Zdroj: The International Journal of Advanced Manufacturing Technology. 135:2755-2776

Multi-step wind speed prediction based on an improved multi-objective seagull optimization algorithm and a multi-kernel extreme learning machine

Autoři: Xiuting Guo Changsheng Zhu Jie Hao a další

Zdroj: Applied Intelligence. 53:16445-16472

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

EMoSOA: a new evolutionary multi-objective seagull optimization algorithm for global optimization

Autoři: YILDIZ, ALİ RIZA Garg, Meenakshi Kaur, Amandeep a další

Zdroj: International Journal of Machine Learning and Cybernetics. 12:571-596

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://www.scilit.net/article/c35080662b0accb5ff14eed24bd254e5
https://link.springer.com/article/10.1007/s13042-020-01189-1
https://dblp.uni-trier.de/db/journals/mlc/mlc12.html#DhimanSSCYKG21
https://doi.org/10.1007/s13042-020-01189-1
https://avesis.uludag.edu.tr/publication/details/9bd16ad9-fccc-487e-aa11-8ca98da44ed7/oai

Breast lesion identification and categorization using mammography screening based on combined convolutional recursive neural network framework with parameters optimized using multi‐objective seagull optimization algorithm

Autoři: N. K. Sakthivel S. Subasree Pachhaiammal Alias Priya M a další

Zdroj: Concurrency and Computation: Practice and Experience. 34

Témata: 03 medical and health sciences, 0302 clinical medicine

Multi-Objective Seagull Optimization Algorithm with Deep Learning-Enabled Vulnerability Detection for Secure Cloud Environments

Autoři: Mohammed Aljebreen Manal Abdullah Alohali Hany Mahgoub a další

Zdroj: Sensors, Vol 23, Iss 23, p 9383 (2023)

Témata: cloud computing, deep learning, intrusion detection system, sooty tern optimization algorithm, seagull optimization algorithm, Chemical technology, TP1-1185

Popis souboru: electronic resource

Relation: https://www.mdpi.com/1424-8220/23/23/9383; https://doaj.org/toc/1424-8220

Přístupová URL adresa: https://doaj.org/article/1f32b8452d8747fba597dc090c05c4a3

Collision-Aware Routing Using Multi-Objective Seagull Optimization Algorithm for WSN-Based IoT

Autoři: Preetha Jagannathan Sasikumar Gurumoorthy Andrzej Stateczny a další

Zdroj: Sensors, Vol 21, Iss 24, p 8496 (2021)

Témata: congestion, Internet of Things, scalability, seagull optimization algorithm, wireless sensor network, Chemical technology, TP1-1185

Popis souboru: electronic resource

Relation: https://www.mdpi.com/1424-8220/21/24/8496; https://doaj.org/toc/1424-8220

Přístupová URL adresa: https://doaj.org/article/a10f6d3a2d2a49aabba911da234c9c0d

Performance assessment of combined cooling, heating and power system operation strategy based on multi-objective seagull optimization algorithm

Autoři: Ming-Lang Tseng Sheng-Jie Zheng Lingling Li a další

Zdroj: Energy Conversion and Management. 244:114443

Témata: 13. Climate action, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

Přístupová URL adresa: https://www.sciencedirect.com/science/article/pii/S0196890421006191
http://www.sciencedirect.com/science/article/pii/S0196890421006191

MOSOA: A new multi-objective seagull optimization algorithm

Autoři: Gaurav Dhiman Krishna Kant Singh Mukesh Soni a další

Zdroj: Expert Systems with Applications. 167:114150

Témata: Diversity, 0209 industrial biotechnology, Multi-Objective Optimization, 0202 electrical engineering, electronic engineering, information engineering, Engineering Design Problems, 02 engineering and technology, 14. Life underwater, Pareto Solutions, Convergence, Seagull Optimization Algorithm

Popis souboru: text

Přístupová URL adresa: https://www.sciencedirect.com/science/article/pii/S0957417420308940
https://dblp.uni-trier.de/db/journals/eswa/eswa167.html#DhimanSSNDSKSHC21

Optimization of machining efficiency and side quality in irregular sheet metal parts milling based on improved multi-objective seagull optimization algorithm.

Autoři: Chen, Xiaohui Shen, Dezhan Ou, Chengyi a další

Zdroj: International Journal of Advanced Manufacturing Technology; Nov2024, Vol. 135 Issue 5/6, p2755-2776, 22p

Témata: METAHEURISTIC algorithms, SHEET metal, METAL cutting, MACHINE parts, MACHINING

Collision‐aware routing using multi‐objective seagull optimization algorithm for WSN‐based IoT /

Autoři: Jagannathan, Preetha Gurumoorthy, Sasikumar Stateczny, Andrzej a další

Zdroj: Sensors., Basel : MDPI, 2021, vol. 21, iss. 24, art. no. 8496, p. 1-17. ; ISSN 1424-8220

Témata: congestion, internet of things, scalability, ceagull optimization algorithm, wireless sensor network

Popis souboru: application/pdf

Relation: https://epubl.ktu.edu/object/elaba:115575590/115575590.pdf; https://vb.ktu.edu/KTU:ELABAPDB115575590&prefLang=en_US

Dostupnost: https://vb.ktu.edu/KTU:ELABAPDB115575590&prefLang=en_US

Multi-Objective Seagull Optimization Algorithm with Deep Learning-Enabled Vulnerability Detection for Secure Cloud Environments.

Autoři: Aljebreen, Mohammed Alohali, Manal Abdullah Mahgoub, Hany a další

Zdroj: Sensors (14248220); Dec2023, Vol. 23 Issue 23, p9383, 18p

Témata: METAHEURISTIC algorithms, CLOUD computing, OPTIMIZATION algorithms, DEEP learning, FEATURE selection, COMMUNICATION infrastructure, MACHINE learning

Breast lesion identification and categorization using mammography screening based on combined convolutional recursive neural network framework with parameters optimized using multi‐objective seagull optimization algorithm.

Autoři: Sakthivel, N. K. Subasree, S. Alias Priya M, Pachhaiammal a další

Zdroj: Concurrency & Computation: Practice & Experience; Dec2022, Vol. 34 Issue 28, p1-20, 20p

Témata: CONVOLUTIONAL neural networks, BREAST, MATHEMATICAL optimization, MAMMOGRAMS, METAHEURISTIC algorithms, DEEP learning

Multi-step wind speed prediction based on an improved multi-objective seagull optimization algorithm and a multi-kernel extreme learning machine.

Autoři: Guo, Xiuting Zhu, Changsheng Hao, Jie a další

Zdroj: Applied Intelligence; Jul2023, Vol. 53 Issue 13, p16445-16472, 28p

Témata: METAHEURISTIC algorithms, WIND speed, WAVELET transforms, ENERGY consumption, WIND power, EVOLUTIONARY algorithms

EMoSOA: a new evolutionary multi-objective seagull optimization algorithm for global optimization.

Autoři: Dhiman, Gaurav Singh, Krishna Kant Slowik, Adam a další

Zdroj: International Journal of Machine Learning & Cybernetics; 2021, Vol. 12 Issue 2, p571-596, 26p

Based on WCA-KELM and MOSOA: optimization of injection molding quality for plastic alloy products.

Autoři: Hua, Junyi Fan, Xiying Guo, Yonghuan a další

Zdroj: Journal of Polymer Engineering; Sep2025, Vol. 45 Issue 8, p710-721, 12p

Témata: INJECTION molding, MANUFACTURING defects, OPTIMIZATION algorithms, PLASTICS, MATHEMATICAL optimization, DEFORMATIONS (Mechanics), METAHEURISTIC algorithms

A new stochastic multi-objective model for the optimal management of a PV/wind integrated energy system with demand response, P2G, and energy storage devices.

Autoři: Faramarzi, Hossein Ghaffarzadeh, Navid Shahnia, Farhad

Zdroj: Frontiers in Energy Research; 2025, p1-17, 17p

Témata: MULTI-objective optimization, ENERGY storage, ENERGY demand management, HYDROGEN as fuel, OPTIMAL control theory, STOCHASTIC models, COMPUTER performance

Intelligent Management of Integrated Energy Systems with a Stochastic Multi-Objective Approach with Emphasis on Demand Response, Energy Storage Devices, and Power-to-Gas.

Autoři: Faramarzi, Hossein Ghaffarzadeh, Navid Shahnia, Farhad

Zdroj: Sustainability (2071-1050); Apr2025, Vol. 17 Issue 7, p3001, 27p

Multi-objective optimization and characterization of cylindricity and material removal rate in nanographene mixed dielectric EDM using ANFIS and MOSOA.

Autoři: Goyal, Ashish Sharma, Deepesh Bhowmick, Arnab a další

Zdroj: Sādhanā: Academy Proceedings in Engineering Sciences; Sep2022, Vol. 47 Issue 3, p1-21, 21p

Témata: ELECTRIC metal-cutting, DIELECTRICS, SURFACE finishing, SCANNING electron microscopy, MACHINE performance, ORTHOGONAL arrays, MATHEMATICAL optimization

城市生活垃圾焚烧炉温控制的多目标优化设定方法. (Chinese)

Alternate Title: Multi-objective optimization setting method for temperature control of municipal solid waste incinerator. (English)

Autoři: 严爱军 胡开成

Zdroj: Control Theory & Applications / Kongzhi Lilun Yu Yinyong; Apr2023, Vol. 40 Issue 4, p693-701, 9p

Témata: METAHEURISTIC algorithms, TEMPERATURE control, ATMOSPHERIC temperature, SOLID waste, HIGH temperatures, INCINERATION

An optimized joint medium access control and routing protocol with iterative contention window adjustment mechanism for a guaranteed lifetime in Internet of Things‐based wireless sensor networks.

Autoři: Nizampatnam, Srikanth Shankar, Thirunarayanan Yamuna, Govindarajan

Zdroj: International Journal of Communication Systems; Sep2022, Vol. 35 Issue 14, p1-28, 28p

Témata: WIRELESS sensor networks, ACCESS control, WIRELESS Internet, END-to-end delay, ENERGY consumption, MATHEMATICAL optimization