Výsledky vyhledávání - "Optimization algorithm framework"

P‐1.28: GOA‐AI:Designing the Size of Gate Driver on Array Circuits Using NSGA‐III(II) multi‐objective optimization algorithm framework Combined with Bayesian Optimization

Autoři: Yanling Chen Zhenbang Hu Xiaoliang Zhou a další

Zdroj: SID Symposium Digest of Technical Papers. 56:792-796

A newly developed multi-strategy optimization algorithm framework based on the adaptive switching approach coupled with grey wolf optimizer

Autoři: Yeming Lu Meina Zhang Yanmu Chen a další

Zdroj: Knowledge and Information Systems. 67:5571-5617

Forward dynamics simulation of a simplified neuromuscular-skeletal-exoskeletal model based on the CMA-ES optimization algorithm: framework and case studies

Autoři: Jin, Wei Liu, Jiaqi Zhang, Qiwei a další

Zdroj: Multibody System Dynamics. 62:525-558

Témata: neuromusculoskeletal modeling, Dynamics of multibody systems, human-exoskeleton interaction, musculoskeletal dynamics, human biomechanics, hip exoskeleton

Popis souboru: application/xml

Přístupová URL adresa: https://zbmath.org/7996341
https://doi.org/10.1007/s11044-024-09982-4

Multi-factor integrated configuration model and three-layer hybrid optimization algorithm framework: turnkey project-oriented rapid manufacturing system configuration

Autoři: Shu-Lian Xie Feng Xue Wei-Min Zhang a další

Zdroj: Advances in Manufacturing. 12:698-725

Jumping particle swarm optimization algorithm framework for content-based image retrieval system

Autoři: Atheer Bassel Mohammed Jameel Mohammed Ayad Saad

Zdroj: Bulletin of Electrical Engineering and Informatics. 12:3665-3676

An integrated deep learning method and optimization algorithm framework for energy-saving steel billet heating

Autoři: Wenchao Ji Guojun Li Chunguang Zhao a další

Zdroj: Engineering Applications of Artificial Intelligence. 153:110916

A multi-population multi-stage adaptive weighted large-scale multi-objective optimization algorithm framework

Autoři: Lixue Xiong Debao Chen Feng Zou a další

Zdroj: Scientific Reports, Vol 14, Iss 1, Pp 1-31 (2024)

Témata: Medicine, Science

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Přístupová URL adresa: https://doaj.org/article/34dd162522994918899f44a6423172aa

Evolutionary Multi-Objective Optimization Algorithm Framework with Three Solution Sets

Autoři: Ishibuchi, Hisao Pang, Lie Meng Shang, Ke

Témata: FOS: Computer and information sciences, 0202 electrical engineering, electronic engineering, information engineering, Computer Science - Neural and Evolutionary Computing, 0102 computer and information sciences, 02 engineering and technology, Neural and Evolutionary Computing (cs.NE), 01 natural sciences

Přístupová URL adresa: http://arxiv.org/abs/2012.07319

EFFICIENT DESIGN AND OPTIMIZATION ALGORITHM FRAMEWORK OF MULTI-SCALE POROUS STRUCTURES

A newly developed multi-strategy optimization algorithm framework based on the adaptive switching approach coupled with grey wolf optimizer.

Autoři: Lu, Yeming Zhang, Meina Chen, Yanmu a další

Zdroj: Knowledge & Information Systems; Jul2025, Vol. 67 Issue 7, p5571-5617, 47p

Témata: GREY Wolf Optimizer algorithm, CLUSTERING algorithms, OPTIMIZATION algorithms, COMPUTATIONAL mathematics, EVOLUTIONARY algorithms

Dynamic Chaotic Opposition-Based Learning-Driven Hybrid Aquila Optimizer and Artificial Rabbits Optimization Algorithm: Framework and Applications

Autoři: Yangwei Wang Yaning Xiao Yanling Guo a další

Zdroj: Processes; Volume 10; Issue 12; Pages: 2703

Témata: Aquila Optimizer, Artificial Rabbits Optimization, adaptive switching mechanism, chaotic opposition-based learning, industrial engineering design, photovoltaic model, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0101 mathematics, 7. Clean energy, 01 natural sciences

Popis souboru: application/pdf

P‐1.28: GOA‐AI:Designing the Size of Gate Driver on Array Circuits Using NSGA‐III(II) multi‐objective optimization algorithm framework Combined with Bayesian Optimization.

Autoři: Chen, Yanling Hu, Zhenbang Zhou, Xiaoliang a další

Zdroj: SID Symposium Digest of Technical Papers; Jun2025 Supplement 1, Vol. 56, p792-796, 5p

Témata: GATE array circuits, OPTIMIZATION algorithms, CONSTRAINED optimization, SIMULATION software, SET functions, LIQUID crystal displays

Penalty-enhanced quantum approximate optimization algorithm framework for maximization and minimization problems.

Autoři: Zhong, Hao Zhang, Qi

Zdroj: Theoretical Computer Science. Jan2026, Vol. 1061, pN.PAG-N.PAG. 1p.

Multi-Population Optimization Framework Based on Plant Evolutionary Strategy and Its Application to Engineering Design Problems

Autoři: Hongwei Cheng Jun Li Xiaoming Zhang a další

Zdroj: International Journal of Computational Intelligence Systems, Vol 18, Iss 1, Pp 1-22 (2025)

Témata: Metaheuristic algorithms, Plant population evolution, Multi-population evolution, Optimization algorithm framework, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1875-6883

Přístupová URL adresa: https://doaj.org/article/1ad4911dd5104713ba1e7bb83deed675

A New Hybrid Optimization Algorithm Framework to Solve Constrained Optimization Problem

Autoři: Huang Zhang-can Cheng Hao

Zdroj: Lecture Notes in Computer Science ISBN: 9783540725893

Přístupová URL adresa: https://link.springer.com/content/pdf/10.1007%2F978-3-540-72590-9_153.pdf
https://link.springer.com/chapter/10.1007%2F978-3-540-72590-9_153
https://dblp.uni-trier.de/db/conf/iccS/iccS2007-4.html#ZhangcanH07
https://link.springer.com/content/pdf/10.1007%2F978-3-540-72590-9_153.pdf
https://rd.springer.com/chapter/10.1007/978-3-540-72590-9_153

Multi-factor integrated configuration model and three-layer hybrid optimization algorithm framework: turnkey project-oriented rapid manufacturing system configuration.

Autoři: Xie, Shu-Lian Xue, Feng Zhang, Wei-Min a další

Zdroj: Advances in Manufacturing; Dec2024, Vol. 12 Issue 4, p698-725, 28p

A multi-population multi-stage adaptive weighted large-scale multi-objective optimization algorithm framework.

Autoři: Xiong, Lixue Chen, Debao Zou, Feng a další

Zdroj: Scientific Reports; 11/19/2024, Vol. 14 Issue 1, p1-31, 31p

Jumping particle swarm optimization algorithm framework for content-based image retrieval system.

Autoři: Bassel, Atheer Jameel, Mohammed Saad, Mohammed Ayad

Zdroj: Bulletin of Electrical Engineering & Informatics; Dec2023, Vol. 12 Issue 6, p3665-3676, 12p

Témata: PARTICLE swarm optimization, CONTENT-based image retrieval, IMAGE databases, IMAGING systems, MEDICAL databases, METAHEURISTIC algorithms

Dynamic Chaotic Opposition-Based Learning-Driven Hybrid Aquila Optimizer and Artificial Rabbits Optimization Algorithm: Framework and Applications.

Autoři: Wang, Yangwei Xiao, Yaning Guo, Yanling a další

Zdroj: Processes; Dec2022, Vol. 10 Issue 12, p2703, 46p

Témata: BEES algorithm, MATHEMATICAL optimization, RABBITS, INDUSTRIAL engineering, ENGINEERING design, PARAMETER identification, ARTIFICIAL membranes

A New Hybrid Optimization Algorithm Framework to Solve Constrained Optimization Problem.

Autoři: Hutchison, David Kanade, Takeo Kittler, Josef a další

Zdroj: Computational Science: ICCS 2007 (9783540725893); 2007, p1005-1012, 8p