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3rd International Conference on Advanced Engineering Materials and Architecture Science (ICAEMAS)

作者： Hang, Yu Kai, Zhang Jilin Agr Univ Inst Informat Technol Changchun 130122 Peoples R China Changchun Univ Finance & Econ Changchun Peoples R China

ISBN: (纸本)9783038352679

TSP problem is a class of classical problems in the combinatorial optimization problem;it has important applications in gene sequencing, robot control and other areas, especially in the computer domain, applied more widely. This paper considers abstracting the problem of stitching and reduction for scraps of paper as a class of TSP problem, and use the optimized greedy algorithm, achieve automatic image stitching shredding by the use of computer graphics technology. Contents of this paper make a useful attempt to study the automatic stitching algorithm for scraps of paper.

关键词： TSP greedy algorithm image processing paper splicing

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Optimization of indoor temperature sensor layout using proper orthogonal decomposition and greedy algorithm 43

Optimization of indoor temperature sensor layout using prope...

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43rd Chinese Control Conference (CCC)

作者： Wang, Zifeng Chen, Zixiang Zheng, Wen Li, Kangji Jiangsu Univ Sch Elect & Informat Engn Zhenjiang 212013 Jiangsu Peoples R China

ISBN: (纸本)9798350366907;9789887581581

Accurately estimating the distributed indoor thermal environmental parameters with limited sensors is crucial for indoor environmental quality and building energy efficiency. This study combines proper orthogonal decomposition and greedy algorithm for sensors layout's optimization in a large-space thermal environment. Firstly, choose the initial quantity and positions of sensors, and collect steady temperature field information based on the feasible range of environmental variables;Secondly, extract features from the collected dataset using proper orthogonal decomposition, and determine the optimal number of sensors based on the energy proportion of the ***;Thirdly, select the sensor positions iteratively based on the correlations of eigenvectors and sensors using greedy algorithm. A field experiment for performance validation is conducted using a matrix of 72 temperature sensors in a large cafeteria. By using the collected 27 snapshot datasets, the temperature field can be reconstructed by Linear Stochastic Estimation using only six optimal sensors (steady-state error: 0.2433, RMSE). The proposed POD-greedy optimization strategy is also compared with another heuristic inference method. The better performance shows great potential for engineering practice and applications.

关键词： Large-space building Proper orthogonal decomposition greedy algorithm Sensor layout optimization

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Computerized Intelligent Pricing and Replenishment Model for Vegetable Commodities Based on greedy algorithm

Computerized Intelligent Pricing and Replenishment Model for...

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2023 IEEE International Conference on Electrical, Automation and Computer Engineering, ICEACE 2023

作者： Zhang, Cheng Mei, Ran Xie, Yuchen He, Yizhuo South China University of Technology Guangzhou China Sichuan University Chengdu China Shenzhen Technology University Shenzhen China

ISBN: (纸本)9798350309614

Vegetable product is an important commodity sold by fresh merchants, and its price is closely related to its product. Vegetables that are not sold one day are difficult to resell the next. Since merchants cannot predict the daily sales of vegetables, it is of great significance to study the replenishment strategy of vegetables for the better management of merchants. This paper will analyze the factors that affect the sales volume of vegetables from the information of vegetable selling time, varieties and flow, and make better replenishment and pricing strategies for vegetable merchants. © 2023 IEEE.

关键词： greedy algorithm Kolmogorov-Smirnov Normality Test Pearson Correlation Test Regression Prediction

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Planning and Verification of a Cloud-Based Monitoring DC Microgrid System Using the greedy algorithm 9

Planning and Verification of a Cloud-Based Monitoring DC Mic...

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9th Southern Power Electronics Conference

作者： Shieh, Jenn-Jong Lu, Chia-Wei Lin, Chang-Hua Liu, Hwa-Dong Feng Chia Univ Dept Elect Engn Taichung Taiwan Natl Taiwan Univ Sci & Technol Dept Elect Engn Taipei Taiwan Natl Taiwan Normal Univ Undergrad Program Vehicle & Energy Engn Taipei Taiwan

ISBN: (纸本)9798350351163;9798350351156

This paper aims to implement a cloud-based monitoring DC microgrid system suitable for communities by integrating a simulated utility grid system (SUGS), battery energy storage system (BESS), solar power generation system (SPGS), and cloud-based front-end monitoring interface and technology. Additionally, the paper utilizes Long Short-Term Memory (LSTM) model to predict the next day's load curve and employs a solar simulator to simulate the daily variations in solar irradiance. Furthermore, to enhance economic benefits during peak and off-peak time-of-use (TOU) pricing periods, this paper adopts the concept of local selection using a greedy algorithm to optimize energy allocation between SUGS, BESS, and SPGS through cloud computing. Finally, a derating case study is conducted through simulations and experiments to verify the economic value and feasibility of the proposed greedy algorithm in a community-based DC microgrid.

关键词： Cloud System microgrid battery energy storage system solar power generation system Long Short-Term Memory greedy algorithm

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1-Bit Precoding for Massive MIMO Downlink with Linear Programming and a greedy algorithm Extension 93

1-Bit Precoding for Massive MIMO Downlink with Linear Progra...

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IEEE 93rd Vehicular Technology Conference (VTC-Spring)

作者： Askerbeyli, Ferhad Xu, Wen Nossek, Josef A. Huawei Technol Duesseldorf GmbH Munich Res Ctr Munich Germany Tech Univ Munich Dept Elect & Comp Engn Munich Germany

ISBN: (纸本)9781728189642

Employing 1-bit quantization in massive multiple-input-multiple-output (MIMO) systems is a promising approach to improve the power efficiency. Various linear and nonlinear precoding techniques including the maximum safety margin (MSM) precoder have been presented to cope with severe 1-bit quantization distortions. In this paper, we show the reason for MSM precoder's success in reducing the quantization distortions and propose a low complexity extension with a greedy algorithm by exploiting this analytic result. Numerical results illustrate that the extended MSM is almost optimal in terms of maximizing the constructive interference (CI) between the received signals.

关键词： Constant envelope transmit signal processing convex optimization greedy algorithm low resolution Digital-Analog-Converters (DACs) massive MIMO

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Multi Agent model based on Chemical Reaction Optimization with greedy algorithm for Flexible Job shop Scheduling Problem 21

Multi Agent model based on Chemical Reaction Optimization wi...

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21st International Conference on Knowledge - Based and Intelligent Information and Engineering Systems (KES)

作者： Marzouki, Bilel Driss, Olfa Belkahla Ghedira, Khaled Univ Manouba Ecole Natl Sci Informat Manouba Tunisia Univ Manouba Ecole Super Commerce Tunis Manouba Tunisia Univ Tunis Inst Super Gest Tunis Tunisia Univ Manouba COSMOS Lab Manouba Tunisia

Scheduling in production systems consists in assigning operations on a set of available resources in order to achieve defined objectives. The Flexible Job shop Scheduling Problem (FJSP) is one of the scheduling problems and also an extension of classical Job shop Scheduling Problem (JSP) such that each operation can be processed on different machine and its processing time depends on the used machine. The FJSP is classified, as most of scheduling problems, NP-Hard in complexity theory and can be decomposed into two sub-problems: a routing sub-problem, which consists of assigning each operation to a machine out of a set of alternative machines, and a scheduling sub-problem, which consists of sequencing the assigned operations on all selected machines in order to attain a feasible schedule with optimized objectives. In this paper, we propose a decentralized model named Multi Agent model based on Chemical Reaction Optimization with greedy algorithm (MACROG FJSP) to solve the FJSP in order to minimize the maximum completion time (Makespan). Experiments are performed on well known benchmark instances proposed in the literature which are Fattahi, Kacem, Brandimarte and Hurink instances to evaluate the performance of our model. (C) 2017 The Authors. Published by Elsevier B.V.

关键词： Multi-Agent system Optimization Manufacturing Scheduling Flexible Job shop Scheduling Problem Chemical Reaction Optimization metaheuristic greedy algorithm

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Real-time routes design research of DIY tour based on greedy algorithm 16

Real-time routes design research of DIY tour based on greedy...

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16th International Conference on Electronic Business, ICEB 2016

作者： Shi, Weina Dong, Linfeng Hainan University China

Compared with group tour, DIY tour is characterized by flexible time arrangements and uncertain routes planning. This paper has mainly employed partial greedy algorithm based on time series in designing real-time routes in DIY tours. As restaurant and accommodation are featured by time window constraint, thus the design is divided into several time partitions in line with 24-hour clock, and each partition has its tour behaviors including sighting, restaurant and accommodation. In each partition and its joint, the paper has availed partial optimal strategy of greedy algorithm so as to complete the overall routes design.

关键词： DIY tour routes design greedy algorithm Partial optimum strategy Real-time

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Research on the Development Trend of New Energy Vehicles in China Based on BP Neural Network Modeling and greedy algorithm 2

Research on the Development Trend of New Energy Vehicles in ...

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2nd IEEE International Conference on Sensors, Electronics and Computer Engineering, ICSECE 2024

作者： Liang, Qikai Peng, Ying Guangxi University Nanning China Yunnan University Kunming China

ISBN: (纸本)9798350373646

The developing tendency of new energy cars in China is discussed. Firstly, four influencing indicators, namely, economy, policy, technology and after-sales service, were selected, and 11 years of data were collected and data preprocessing was carried out. The grey correlation model was set up to determine the size and order of the grey correlation coefficient, and the main factors influencing the development of NEV (new energy vehicles) and EV (electric vehicles) were identified. Then, the indicators were preliminarily analyzed using scatter plots. A linear regression model was established and solved using the least squares method to obtain the fitted functional relationships and predicted values. Moreover, a BP Neural Network forecast model and LSTM time series forecast model are built by MATLAB, which take the production and sales of NEV as the input variable, the training set of every influential index as the input variable, and the output of the new energy car in the coming decade as the output variable. © 2024 IEEE.

关键词： BP neural network Cargo Forecasting gray correlation greedy algorithm new energy vehicle Staff Scheduling

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Research on the maximization of the equilibrium influence of multi-information competition based on greedy algorithm 3

Research on the maximization of the equilibrium influence of...

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3rd International Conference on Information Technologies and Electrical Engineering, ICITEE 2020

作者： Zhang, Yunfei He, Jun Wen, Jin Wang, Yujian School of Information Engineering Kunming University Kunming China

ISBN: (纸本)9781450388665

In the information age, with the continuous improvement of Internet technology, online information has gradually changed people's way of life and work. Therefore, after understanding the background of the spread of multi-information competition, this paper refers to the influence algorithm based on the cost control mechanism, and studies the maximization of the game equilibrium influence of multi-information competition spread based on the greedy algorithm. © 2020 ACM.

关键词： Competitive transmission Game equilibrium greedy algorithm Maximize More information

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greedy algorithm for Set Cover in Context of Knowledge Discovery Problems

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Electronic Notes in Theoretical Computer Science 2003年第4期82卷 174-185页

作者： Mikhail Ju. Moshkov Faculty of Computing Mathematics and Cybernetics Nizhny Novgorod State University 23 Gagarina Av. Nizhny Novgorod 603950 Russia

In the paper some problems connected with a process of knowledge discovery are considered. These problems are reduced to the set cover problem. It is known that under a plausible assumption on the class N P the greedy algorithm is close to best approximate polynomial algorithms for the set cover problem solving. Unfortunately, the performance ratio of this algorithm grows almost as natural logarithm on the cardinality of covered set. Instead of usual greedy algorithm we consider greedy algorithm with threshold. This algorithm constructs a partial cover, which covers at least a fixed part (for example, 90%) of the set. We prove that the cardinality of constructed partial cover is bounded from above by a linear function on the minimal cardinality of exact cover C min . In the case of 90% -cover, for example, in the capacity of such function we can take the function 2.31,·,C min +1. This bound is independent of the cardinality of covered set. Notice that the concept of partial cover in context of knowledge discovery problems is very close to the concept of approximate reduct.

关键词： Data table knowledge discovery greedy algorithm partial cover

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