Search Results - "Optimization algorithm framework"

Penalty-enhanced quantum approximate optimization algorithm framework for maximization and minimization problems by Zhong, Hao, Zhang, Qi

“…The Quantum Approximate Optimization Algorithm (QAOA for short) has demonstrated great potential in solving NP-hard combinatorial optimization problems. This…”
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A multi-population multi-stage adaptive weighted large-scale multi-objective optimization algorithm framework by Xiong, Lixue, Chen, Debao, Zou, Feng, Ge, Fangzhen, Liu, Fuqiang

“…Weighted optimization framework (WOF) achieves variable dimensionality reduction by grouping variables and optimizing weights, playing an important role in…”
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Uncertainty informed calibration of thermal-hydraulic models for nuclear reactor via integrated neural network and optimization algorithm framework by Xiong, Qingwen, Yuan, Xianbao, Zhang, Sen, Zhou, Jianjun, Mao, Zhangliang, Zhang, Yonghong

“…Model calibration is a technique that enhances computational accuracy by adjusting model inputs or structures, and can be categorized into probabilistic and…”
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An integrated deep learning method and optimization algorithm framework for energy-saving steel billet heating by Ji, Wenchao, Li, Guojun, Zhao, Chunguang, Yi, Zhi, Wei, Linyang, Sun, Shuangcheng

“…Accurate prediction and optimization of steel billet temperature are crucial for ensuring billet quality and reducing the energy consumption of reheating…”
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A newly developed multi-strategy optimization algorithm framework based on the adaptive switching approach coupled with grey wolf optimizer by Lu, Yeming, Zhang, Meina, Chen, Yanmu, Ju, Jinjun, Chen, Fang, Bai, Kunlun, Wang, Xiaofang

“… a Surrogate-Assisted Grey Wolf Optimization framework based on Query by Committee (SAGWO-QBC). The multi-strategy optimization algorithm framework includes a search…”
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Dynamic Chaotic Opposition-Based Learning-Driven Hybrid Aquila Optimizer and Artificial Rabbits Optimization Algorithm: Framework and Applications by Wang, Yangwei, Xiao, Yaning, Guo, Yanling, Li, Jian

“…Aquila Optimizer (AO) and Artificial Rabbits Optimization (ARO) are two recently developed meta-heuristic optimization algorithms. Although AO has powerful…”
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Forward dynamics simulation of a simplified neuromuscular-skeletal-exoskeletal model based on the CMA-ES optimization algorithm: framework and case studies by Jin, Wei, Liu, Jiaqi, Zhang, Qiwei, Zhang, Xiaoxu, Wang, Qining, Xu, Jian, Fang, Hongbin

“…The modeling and simulation of coupled neuromusculoskeletal-exoskeletal systems play a crucial role in human biomechanical analysis, as well as in the design…”
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Intelligent fault detection and classification of lithium-ion batteries using spike-induced graph neural network and orangutan optimization algorithm framework by Balaram, Allam, Ramu, V., Guganathan, L., Anupama, J.

“…Reliable fault detection in lithium-ion (Li-ion) batteries is essential for safety and lifetime management in electric vehicles (EVs); however, existing…”
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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 by Chen, Yanling, Hu, Zhenbang, Zhou, Xiaoliang, Sun, Zhixin, Tan, Zhiwei, Liu, Yangxing

“…This paper proposed a Bayesian‐optimization‐integrated NSGA‐III(II) multi‐objective optimization algorithm framework and applied it to the transistor size design of gate driver‐on‐array (GOA…”
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Multi-factor integrated configuration model and three-layer hybrid optimization algorithm framework: turnkey project-oriented rapid manufacturing system configuration by Xie, Shu-Lian, Xue, Feng, Zhang, Wei-Min, Zhu, Jia-Wei, Jia, Zi-Wei

“…In the context of increasingly prominent product personalization and customization trends, intelligent manufacturing-oriented turnkey projects can provide…”
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Multi-Population Optimization Framework Based on Plant Evolutionary Strategy and Its Application to Engineering Design Problems by Cheng, Hongwei, Li, Jun, Zhang, Xiaoming, Li, Tingjuan, Zhang, Panpan

“…Optimization problems are widespread across various fields, including industry, agriculture, and healthcare. Metaheuristic algorithms (MAs) are commonly…”
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Evolutionary Multi-Objective Optimization Algorithm Framework with Three Solution Sets by Ishibuchi, Hisao, Lie Meng Pang, Shang, Ke

“…It is assumed in the evolutionary multi-objective optimization (EMO) community that a final solution is selected by a decision maker from a non-dominated…”
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Research on Power System Optimization Algorithm Frameworks Empowered by Machine Learning by Shi, Zhan, Yan, Dong, Tian, Jie, Lu, Yudong, Wang, Xinying

“… This paper is aimed to summarize the optimization algorithm frameworks, which is based on the interaction between ML and optimization computing for general power system optimization problems…”
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RelOps: Reliability Optimization in Standard Cells Across PVT Variations in FinFET Digital Circuits by Akhtar, Mohammad Rehan, Goswami, Ritwik Basyas, Abbas, Zia

“…) FinFET for the first time. The approach leverages a multiobjective optimization algorithm framework…”
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Optimization of expensive black-box problems via Gradient-enhanced Kriging by Chen, Liming, Qiu, Haobo, Gao, Liang, Jiang, Chen, Yang, Zan

“…This paper explores the use of Gradient-enhanced Kriging for optimization of expensive black-box design problems, which is not completely limited by the conventional Efficient Global Optimization algorithm framework…”
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Space-efficient binary optimization for variational quantum computing by Glos, Adam, Krawiec, Aleksandra, Zimborás, Zoltán

“…In the era of Noisy Intermediate-Scale Quantum (NISQ) computers it is crucial to design quantum algorithms which do not require many qubits or deep circuits…”
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Online Distribution System Topology Monitoring With Limited Smart Meter Communication by Wei, Hongyi, Wang, Wei, Fang, Chen, Liu, Yuxiao, Zhang, Ning, Kang, Chongqing

“… We design a three-step angle-free optimization algorithm framework to track system topology and detect branch switching events online…”
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Application of deep learning based multi-fidelity surrogate model to robust aerodynamic design optimization by Tao, Jun, Sun, Gang

“…) algorithm framework, and is updated in each iteration of the robust…”
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Evolving Dual-Directional Multiobjective Feature Selection for High-Dimensional Gene Expression Data by Wang, Yunhe, Du, Zhengyu, Li, Xiaomin, Xiao, Wenyuan, Liu, Hongpu, Yang, Liang

“…High-dimensional gene expression data has gained considerable attention in diverse medical fields such as disease diagnosis, with the challenges of the…”
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Privacy protection based on many‐objective optimization algorithm by Zhang, Jiangjiang, Xue, Fei, Cai, Xingjuan, Cui, Zhihua, Chang, Yu, Zhang, Wensheng, Li, Wuzhao

“… To protect private information quickly and accurately, a many‐objective optimization algorithm framework based on the hybrid elite selection strategy is proposed in this paper…”
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