检索结果-内蒙古大学图书馆

Wind Technologies for Wake Effect Performance in Windfarm Layout Based on Population-Based optimization algorithm

ENERGIES 2021年第14期14卷 4125页

作者： Hsieh, Yi-Zeng Lin, Shih-Syun Chang, En-Yu Tiong, Kwong-Kau Tan, Shih-Wei Hor, Chiou-Yi Cheng, Shyi-Chy Tsai, Yu-Shiuan Chen, Chao-Rong Natl Taiwan Ocean Univ Dept Elect Engn Keelung 202301 Taiwan Natl Taiwan Ocean Univ Ctr Excellence Ocean Engn Keelung 202301 Taiwan Natl Taiwan Ocean Univ Inst Food Safety & Risk Management Keelung 202301 Taiwan Natl Taiwan Ocean Univ Dept Comp Sci & Engn Keelung 202301 Taiwan China Steel Corp Green Energy & Syst Integrat R&D Dept Kaohsiung 81233 Taiwan Natl Taipei Univ Technol Dept Elect Engn Taipei 10608 Taiwan

The focus of this study is under the auspices of China Steel Corporation, Taiwan, in carrying out the national energy policy of 2025 Non-Nuclear Home. Under this policy, an estimated 600 offshore wind turbines will be installed by 2025. In order to carry out the wind energy project effectively, a preliminary study must be conducted. In this article, we investigated the influence of the wake effect on the efficiency of the turbines' layout in a windfarm. A distributed genetic algorithm is deployed to study the wind turbines' layout in order to alleviate the detrimental wake effect. In the current stage of this research, the historical weather data of weather stations near the site of the 29th windfarm, Taiwan, were collected by Academia Sinica. Our wake effect resilient optimized windfarm showed superior performance over that of the conventional windfarm. Additionally, an operation cost minimization process is also demonstrated and implemented using an ant colony optimization algorithm to optimize the total length of the power-carrying interconnecting cables for the turbines inside the optimized windfarm.

关键词： wake effects optimization algorithm turbines layout wind distribution

来源：评论

学校读者我要写书评

暂无评论

Developing a Smart Hotel Management System based on Process Data Collection and optimization algorithm 6

Developing a Smart Hotel Management System based on Process ...

引用

6th International Conference on Trends in Electronics and Informatics (ICOEI)

作者： Liu, Fei Kang, Jiali Tianjin Univ Finance & Econ Pearl River Coll Xiangrui St Baodi Dist Tianjin 301811 Peoples R China

ISBN: (纸本)9781665483285;9781665483292

In view of the problems that traditional hotel management and service quality are easily affected by service personnel, and the check-in and check-out procedures are cumbersome, a smart hotel management system based on the combination of IoT and artificial intelligence technology is developed. First, process data collection is used to decompose it into relatively independent Sub-projects, and then use the design structure matrix to express the relationship between the sub-projects, and use the corresponding algorithm to identify the iterative relationship, which provides a feasible idea for project planning and process monitoring. Networking technology realizes centralized control and management of access control and hotel equipment, realizes unmanned service in the whole process from check-in to check-out, and improves efficiency by 7.8%.

关键词： Hotel Management Process Data Collection optimization algorithm

来源：评论

学校读者我要写书评

暂无评论

Block Compressed Sensing Observation Matrix optimization algorithm Based on Block Target

引用

电脑学刊 2021年第6期32卷 218-226页

作者： Shi-Fu Xu Ya-Nan Jiang

In order to eliminate the blocking effect of block compressed sensing algorithm, an optimization algorithm of block compressed sensing observation matrix based on block target is studied. The theory of block compressed sensing is to segment the original image with fixed size to obtain the sub blocks, arrange the texture of each sub block, use the compressed sensing observation matrix to sample each sub block, and optimize the observation matrix of block compressed sensing to eliminate the blocking effect. The block target method uses sparse orthogonal basis to make the processed block target conform to sparsity and orthogonality. The sparse coefficient vector is obtained by the basis inverse transformation, and the reflection coefficient of block target is obtained by using the sparse coefficient vector to optimize the observation matrix of block compressed sensing. The experimental results show that the peak signal-to-noise ratio (PSNR) is higher than 31dB when the algorithm is applied to image reconstruction, and the relative support set error of different sparsity and observation times is low, which can effectively eliminate the blocking effect of block compressed sensing algorithm.

关键词： block target block compressed sensing observation matrix optimization algorithm PSNR

来源：评论

学校读者我要写书评

暂无评论

Enhance the Efficiency of Sheet Beam TWT with Advanced optimization algorithm 21

Enhance the Efficiency of Sheet Beam TWT with Advanced Optim...

引用

21st IEEE International Conference on Vacuum Electronics (IVEC)

作者： Liu, Zeng Wang, Jianxun Wan, Yixin Liu, Qiang Luo, Yong Univ Elect Sci & Technol China Sch Elect Sci & Engn Chengdu Peoples R China

ISBN: (纸本)9781538682883

The sheet beam traveling-wave tube (SBTWT) with staggered double vane (SDV) structure has attracted much attention as a board band and powerful terahertz and millimeter-wave source. In this paper, the velocity taper for SDV structure is optimized with a recently proposed swarm-intelligence (SI) based optimization algorithm named dragonfly algorithm (DA) in order to enhance the beam-wave interaction efficiency in sheet beam TWT. The optimization result of this algorithm is compared with other commonly used algorithms. The taper optimized with DA is verified with CST particle in cell (PIC) simulations. The efficiency of the optimized structure has been greatly increased in both optimization and PIC simulations.

关键词： sheet beam optimization algorithm traveling-wave tube efficiency

来源：评论

学校读者我要写书评

暂无评论

Design and Implementation of the optimization algorithm in the Layout of Parking Lot Guidance 16

Design and Implementation of the Optimization Algorithm in t...

引用

16th International Conference on Computational Intelligence and Security (CIS)

作者： Liu, Zhendong Yang, Yurong Li, Dongyan Li, Xiaofeng Lv, Xinrong Chen, Xi Shandong Jianzhu Univ Dept Comp Sci & Technol Jinan 250101 Peoples R China

ISBN: (纸本)9781665404457

It is not perfect in view of the fact that the information guidance system of parking spaces in large and medium-sized parking lots at present, it is difficult to find a empty parking spaces in parking lots. One of the problems is large amount of calculation in traditional Dijkstra algorithm. In this paper, the improved Dijkstra algorithm is presented and optimized to find the best parking path with the purpose of looking for the nearest free parking space based on the layout model in parking lot parking guidance. The experiments show that it can find the optimal parking space and the optimal parking path by the improved Dijkstra algorithm, and improve the parking efficiency.

关键词： shortest path parking guidance Dijkstra algorithm optimization algorithm parking lot

来源：评论

学校读者我要写书评

暂无评论

The Evolutionary Game Analysis and optimization algorithm of Electric Vehicle Cell Innovation Diffusion Based on a Patent Pool Strategy

引用

WORLD ELECTRIC VEHICLE JOURNAL 2021年第4期12卷 251页

作者： Sun, Weiwei Yuan, Min Zhang, Zheng Univ Shanghai Sci & Technol Business Sch Shanghai 200093 Peoples R China Univ Shanghai Sci & Technol Sch Med Instrument & Food Engn Shanghai 200093 Peoples R China

A patent pool strategy was proposed for use in the electric vehicle cell industry to manage patent licensing disputes and litigation. How to promote EV cell innovation diffusion under a patent pool scenario is unclear. We introduced an innovation diffusion channel model comprising different players with patent licensing relationships and market competition relationships following evolutionary game analysis and simulation. We found the interlinked factors that influenced evolutionary stable strategies with a sensitivity test on all factors to identify the important and unimportant factors. To achieve the maximum return for the players, an optimization algorithm was introduced to find the maximum weighted object function. The decision and policy makers could focus on important factors such as improving the technology's competitive advantages, delivering more profits to its licensees with reasonable licensing fees, and finding the best patent pool strategy with the support of the optimization algorithm

关键词： electric vehicle patent pool system dynamics evolutionary game optimization algorithm

来源：评论

学校读者我要写书评

暂无评论

Promoting Electric Vehicle Cell Innovation Diffusion Considering Patent Licensing Strategy: A Combination of Evolutionary Game and optimization algorithm Approach

引用

WORLD ELECTRIC VEHICLE JOURNAL 2021年第3期12卷 95页

作者： Sun, Weiwei Zhang, Zheng Univ Shanghai Sci & Technol Business Sch Shanghai 200093 Peoples R China

Electric vehicle cell industry is an emerging area with fierce competition on technical innovation, in which the patent holder can choose different innovation diffusion options to maximize the return;however, the strategy is unclear in certain scenarios. We tried to explain the question of how to maximize the patent holder's return by appropriate patent license strategy to promote EV cell innovation diffusion, when competition and patent licensing relationship exist in the supply chain. A multistage and multichannel diffusion model of EV cell comprising the patent holder, EV cell producer and EV producers is developed;the evolutionary game is analyzed considering the competition among same stage players and patent licensing relationship among different stage players;and an optimization algorithm is introduced to find the maximum weighted object function of the patent holder. We established the multistage and multichannel diffusion model and found a nonlinear complex relationship between patent holder object function and the key factors including patent royalty pricing and innovation advantage coefficient;in addition, an optimization algorithm is developed based on adopters' decision-making related with competition and patent licensing.

关键词： innovation diffusion patent systemdynamics evolutionary game optimization algorithm

来源：评论

学校读者我要写书评

暂无评论

Using an optimization algorithm to Detect Hidden Waveforms of Signals

引用

SENSORS 2021年第2期21卷 588页

作者： Chang, Yen-Ching Chang, Chin-Chen Chung Shan Med Univ Dept Med Informat Taichung 40201 Taiwan Feng Chia Univ Dept Informat Engn & Comp Sci Taichung 40724 Taiwan Hangzhou Dianzi Univ Sch Comp Sci & Technol Hangzhou 310018 Peoples R China

Source signals often contain various hidden waveforms, which further provide precious information. Therefore, detecting and capturing these waveforms is very important. For signal decomposition (SD), discrete Fourier transform (DFT) and empirical mode decomposition (EMD) are two main tools. They both can easily decompose any source signal into different components. DFT is based on Cosine functions;EMD is based on a collection of intrinsic mode functions (IMFs). With the help of Cosine functions and IMFs respectively, DFT and EMD can extract additional information from sensed signals. However, due to a considerably finite frequency resolution, EMD easily causes frequency mixing. Although DFT has a larger frequency resolution than EMD, its resolution is also finite. To effectively detect and capture hidden waveforms, we use an optimization algorithm, differential evolution (DE), to decompose. The technique is called SD by DE (SDDE). In contrast, SDDE has an infinite frequency resolution, and hence it has the opportunity to exactly decompose. Our proposed SDDE approach is the first tool of directly applying an optimization algorithm to signal decomposition in which the main components of source signals can be determined. For source signals from four combinations of three periodic waves, our experimental results in the absence of noise show that the proposed SDDE approach can exactly or almost exactly determine their corresponding separate components. Even in the presence of white noise, our proposed SDDE approach is still able to determine the main components. However, DFT usually generates spurious main components;EMD cannot decompose well and is easily affected by white noise. According to the superior experimental performance, our proposed SDDE approach can be widely used in the future to explore various signals for more valuable information.

关键词： signal detection hidden waveform optimization algorithm discrete Fourier transform empirical mode decomposition intrinsic mode function signal decomposition

来源：评论

学校读者我要写书评

暂无评论

A Wideband Butterfly Antenna Based on Deep Learning Parameter optimization algorithm

A Wideband Butterfly Antenna Based on Deep Learning Paramete...

引用

2020 Cross Strait Radio Science and Wireless Technology Conference

作者： Wang, Nan Kong, Zhizhan Ren, Xiaolong Chen, Songbo Dai, Guang Han, Kenlong Chen, Xiaojian He, Miao Du, Hao State Grid Shaanxi Elect Power Res Inst Xian Shanxi Peoples R China State Grid Shaanxi Elect Power Corp Xian Shanxi Peoples R China State Grid Shaanxi Maintenance Co Xian Shanxi Peoples R China Xi An Jiao Tong Univ Sch Informat & Commun Engn Xian Shanxi Peoples R China

ISBN: (纸本)9781728181813

A wideband butterfly antenna based on deep learning parameter optimization algorithm is proposed in this paper. Two neural networks are designed to model the mapping relationship of structure parameters to frequency response and frequency response to structure parameters respectively. The parameter optimization algorithm proposed consists of two stages: training NN1 and optimizing parameters using NN2. A wideband butterfly antenna is designed to verify the algorithm. The experiment shows that the structure parameter optimization algorithm proposed can quickly optimize the structure parameters of antenna with the best preformance and save a lot of manpower and time cost.

关键词： antenna deep learning optimization algorithm

来源：评论

学校读者我要写书评

暂无评论

Optimizing parameters in swarm intelligence using reinforcement learning: An application of Proximal Policy optimization to the iSOMA algorithm

引用

SWARM AND EVOLUTIONARY COMPUTATION 2024年 85卷

作者： Klein, Lukas Zelinka, Ivan Seidl, David VSB Tech Univ Ostrava Dept Comp Sci FEI Ostrava 70800 Czech Republic VSB Tech Univ Ostrava ENET Ctr Ostrava 70800 Czech Republic

This paper presents a new algorithm for optimizing parameters in swarm algorithm using reinforcement learning. The algorithm, called iSOMA-RL, is based on the iSOMA algorithm, a population-based optimization algorithm that mimics the competition-cooperation behavior of creatures to find the optimal solution. By using reinforcement learning, iSOMA-RL can dynamically and continuously optimize parameters, which can play a crucial role in determining the performance of the algorithm but are often difficult to determine. The reinforcement learning technique used is the state -of -the -art Proximal Policy optimization (PPO), which has been successful in many areas. The algorithm was compared to the original iSOMA algorithm and other algorithms from the SOMA family, showing better performance with only constant increase in computational complexity depending on number of function evaluations. Also we examine different sets of parameters to optimize and different reward functions. We also did comparison to widely used and state -of -the -art algorithms to illustrate improvement in performance over the original iSOMA algorithm.

关键词： Self-Organizing Migrating algorithm optimization algorithm Swarm intelligence Numerical optimization Reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：