Výsledky vyhľadávania - "Intelligent optimization"

A Survey of Learning-Based Intelligent Optimization Algorithms Autor Li, Wei, Wang, Gai-Ge, Gandomi, Amir H.

“… The learning-based intelligent optimization algorithm (LIOA) refers to an intelligent optimization algorithm with a certain learning ability…”
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Intelligent optimization: Literature review and state-of-the-art algorithms (1965–2022) Autor Mohammadi, Ali, Sheikholeslam, Farid

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Hybrid-Model-Based Intelligent Optimization of Ironmaking Process Autor Zhou, Heng, Zhang, Haifeng, Yang, Chunjie

“… and technical indices with physical constraints. To optimize several conflicting objects such as production rate, economic benefits, and gas emission, a hybrid-model-based intelligent optimization method that consists of an improved genetic…”
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BIOS-Based Server Intelligent Optimization Autor Qi, Xianxian, Yang, Jianfeng, Zhang, Yiyang, Xiao, Baonan

“…Servers are the infrastructure of enterprise applications, and improving server performance under fixed hardware resources is an important issue. Conducting…”
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Wind power forecasting based on stacking ensemble model, decomposition and intelligent optimization algorithm Autor Dong, Yingchao, Zhang, Hongli, Wang, Cong, Zhou, Xiaojun

“…Wind power forecasting has high application value in power systems. However, due to the intermittence and fluctuation of wind power, it is difficult to predict…”
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A Review of Reinforcement Learning Based Intelligent Optimization for Manufacturing Scheduling Autor Wang, Ling, Pan, Zixiao, Wang, Jingjing

“…As the critical component of manufacturing systems, production scheduling aims to optimize objectives in terms of profit, efficiency, and energy consumption by…”
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Intelligent optimization under the makespan constraint: Rapid evaluation mechanisms based on the critical machine for the distributed flowshop group scheduling problem Autor Wang, Yuhang, Han, Yuyan, Wang, Yuting, Tasgetiren, M. Fatih, Li, Junqing, Gao, Kaizhou

“…In the flowshop scheduling literature, the insertion-based neighborhood search method is often considered to obtain high-quality solutions. It will lead to…”
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Nonlinear Equations Solving with Intelligent Optimization Algorithms: A Survey Autor Gong, Wenyin, Liao, Zuowen, Mi, Xianyan, Wang, Ling, Guo, Yuanyuan

“… In recent years, Intelligent Optimization Algorithms (IOAs) have shown to be particularly effective in solving NEs…”
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IOFL: Intelligent-Optimization-Based Federated Learning for Non-IID Data Autor Li, Xinyan, Zhao, Huimin, Deng, Wu

“…). In response to these challenges, an intelligent optimization-based federated learning (IOFL) framework is developed to improve the privacy protection performance and global model performance in this article…”
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A critical review on intelligent optimization algorithms and surrogate models for conventional and unconventional reservoir production optimization Autor Wang, Lian, Yao, Yuedong, Luo, Xiaodong, Daniel Adenutsi, Caspar, Zhao, Guoxiang, Lai, Fengpeng

“…•A variety of intelligent optimization algorithms and surrogate models for reservoir production optimization are reviewed…”
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Intelligent Optimization Algorithm for Green IoV Networks Based on SSA Autor Yin, Hao, Lyu, Yaohui, Xu, Lingwei, Gulliver, T. Aaron

“…The rapid development of the Internet of Vehicles (IoV) has been enabled by sixth-generation (6G) mobile communication and artificial intelligence…”
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Precision Denavit–Hartenberg Parameter Calibration for Industrial Robots Using a Laser Tracker System and Intelligent Optimization Approaches Autor Khanesar, Mojtaba A., Yan, Minrui, Isa, Mohammed, Piano, Samanta, Branson, David T.

“…Precision object handling and manipulation require the accurate positioning of industrial robots. A common practice for performing end effector positioning is…”
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Multi-Swarm Co-Evolution Based Hybrid Intelligent Optimization for Bi-Objective Multi-Workflow Scheduling in the Cloud Autor Li, Huifang, Wang, Danjing, Zhou, MengChu, Fan, Yushun, Xia, Yuanqing

“…, scheduling multiple applications with different QoS requirements is highly challenging. This work proposes a Multi-swarm Co-evolution-based Hybrid Intelligent Optimization (MCHO…”
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Intelligent optimization of a PV/T–ORC coupled microgrid: towards reliable, high tenacity and cost-efficient energy systems Autor Liu, Tao, Zou, Chongzhe, Wang, Hui, Yang, Jing, Chi, Heitian, Zhang, Lihong, Li, Hao, Xiao, Yulong

“…•Development of a novel DBO-based optimization model for a PV/T–ORC coupled microgrid system.•Implementation of a dynamic electro-thermal multi-domain…”
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Chaos enhanced intelligent optimization-based novel deception detection system Autor Bingol, Harun, Alatas, Bilal

“…Today, with the developing technology, access methods to information have also changed. Internet blogs and news sites, social media, etc. replace the…”
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Intelligent optimization design of shell and helically coiled tube heat exchanger based on genetic algorithm Autor Wang, Cong, Cui, Zhengyu, Yu, Hongmei, Chen, Kai, Wang, Jianli

“…•Performing an intelligent optimization scheme on the shell and helically coiled tube heat exchanger…”
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Intelligent optimization framework of near zero energy consumption building performance based on a hybrid machine learning algorithm Autor Wu, Xianguo, Feng, Zongbao, Chen, Hongyu, Qin, Yawei, Zheng, Shiyi, Wang, Lei, Liu, Yang, Skibniewski, Miroslaw J.

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Intelligent Optimization Algorithm-Based Path Planning for a Mobile Robot Autor Song, Qisong, Li, Shaobo, Yang, Jing, Bai, Qiang, Hu, Jianjun, Zhang, Xingxing, Zhang, Ansi

“…The purpose of mobile robot path planning is to produce the optimal safe path. However, mobile robots have poor real-time obstacle avoidance in local path…”
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Integrating socioecological indexes in multiobjective intelligent optimization of green-grey coupled infrastructures Autor Liu, Zijing, Xu, Changqing, Xu, Te, Jia, Haifeng, Zhang, Xiang, Chen, Zhengxia, Yin, Dingkun

“…Ecological conservation is an important objective in urban runoff management today. Maintaining a sustainable ecological system is as equally important a task…”
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A combined multi-objective intelligent optimization approach considering techno-economic and reliability factors for hybrid-renewable microgrid systems Autor Heydari, Azim, Nezhad, Meysam Majidi, Keynia, Farshid, Fekih, Afef, Shahsavari-Pour, Nasser, Garcia, Davide Astiaso, Piras, Giuseppe

“…This paper proposes a novel optimization strategy for hybrid-renewable energy systems in microgrids. The multi-objective optimization approach is formulated…”
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