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A Genetic Algorithm for Single Machine Scheduling with Fuzzy Processing Time and Multiple Objectives 认领 引用
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作者 吴超超 顾幸生 《Journal of Donghua University(English Edition)》 EI CAS 2004年第3期185-189,共5页
In this paper, by considering the fuzzy nature of the data in real-life problems, single machine scheduling problems with fuzzy processing time and multiple objectives are formulated and an efficient genetic algorithm... In this paper, by considering the fuzzy nature of the data in real-life problems, single machine scheduling problems with fuzzy processing time and multiple objectives are formulated and an efficient genetic algorithm which is suitable for solving these problems is proposed. As illustrative numerical examples, twenty jobs processing on a machine is considered. The feasibility and effectiveness of the proposed method have been demonstrated in the simulation. 展开更多
关键词 scheduling single machine genetic algorithms fuzzy processing time multiple objectives
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Design of the architecture and algorithms for the SVOM satellite data processing and management system 认领 引用
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作者 Mingyue Wei Fuli Ma +2 位作者 Zhen Ji Tao Shi Qinsi Yu 《Astronomical Techniques and Instruments》 CSCD 2026年第3期260-273,共14页
The Space-based multi-band astronomical Variable Objects Monitor(SVOM)mission requires a scalable and efficient data processing and management system to support multi-band data processing,storage,sharing,and operation... The Space-based multi-band astronomical Variable Objects Monitor(SVOM)mission requires a scalable and efficient data processing and management system to support multi-band data processing,storage,sharing,and operational monitoring.Key technologies developed to meet mission requirements include a multi-station Level 0 data fusion algorithm,a data quality assessment algorithm based on orbit and observation number,and a Level 1A science data product processing algorithm for the Gamma Ray Monitor payload.Adopting a layered and modular architecture,the system enables end-to-end automated processing,distribution,archiving,and publication of satellite downlink data across four transmission channels(X-band,S-band,very high frequency,and BeiDou).In-orbit operational validation shows that the system achieves excellent performance in stability,high throughput,and robust adaptability to mission dynamics. 展开更多
关键词 Space science satellite Satellite operations Data processing and management system Data publication and sharing system Space-based multi-band astronomical variable objects monitor
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Multi‐objective particle swarm optimisation of complex product change plan considering service performance 认领 引用 被引量：3
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作者 Ruizhao Zheng Yong Zhang +4 位作者 Xiaoyan Sun Faguang Wang Lei Yang Chen Peng Yulong Wang 《CAAI Transactions on Intelligence Technology》 SCIE EI 2023年第3期1058-1076,共19页
Design change is an inevitable part of the product development process.This study proposes an improved binary multi‐objective PSO algorithm guided by problem char-acteristics(P‐BMOPSO)to solve the optimisation probl... Design change is an inevitable part of the product development process.This study proposes an improved binary multi‐objective PSO algorithm guided by problem char-acteristics(P‐BMOPSO)to solve the optimisation problem of complex product change plan considering service performance.Firstly,a complex product multi‐layer network with service performance is established for the first time to reveal the impact of change effect propagation on the product service performance.Secondly,the concept of service performance impact(SPI)is defined by decoupling the impact of strongly associated nodes on the service performance in the process of change affect propagation.Then,a triple‐objective selection model of change nodes is established,which includes the three indicators:SPI degree,change cost,and change time.Furthermore,an integer multi‐objective particle swarm optimisation algorithm guided by problem characteristics is developed to solve the model above.Experimental results on the design change problem of a certain type of Skyworth TV verify the effectiveness of the established optimisation model and the proposed P‐BMOPSO algorithm. 展开更多
关键词 multi‐objective particle swarm optimization product change service performance
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Object Extraction Based on Evolutionary Morphological Processing 认领 引用 被引量：1
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作者 LIBin PANLi 《Geo-Spatial Information Science》 EI 2004年第3期193-197,230,共5页
This paper introduces a novel technique for object detection using genetic algorithms and morphological processing. The method employs a kind of object oriented structure element, which is derived by genetic algorithm... This paper introduces a novel technique for object detection using genetic algorithms and morphological processing. The method employs a kind of object oriented structure element, which is derived by genetic algorithms. The population of morphological filters is iteratively evaluated according to a statistical performance index corresponding to object extraction ability, and evolves into an optimal structuring element using the evolution principles of genetic search. Experimental results of road extraction from high resolution satellite images are presented to illustrate the merit and feasibility of the proposed method. 展开更多
关键词 object extraction genetic algorithms morphological processing high resolution satellite images
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Influence of Multi-pass Friction Stir Processing on Microstructure and Mechanical Properties of Die Cast Al–7Si–3Cu Aluminum Alloy 认领 引用 被引量：5
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作者 L.John Baruch R.Raju +2 位作者 V.Balasubramanian A.G.Rao I.Dinaharan 《Acta Metallurgica Sinica(English Letters)》 SCIE EI CAS CSCD 2016年第5期431-440,共10页
The influence of overlap multi-pass friction stir processing on the microstructure and the mechanical properties, in particular, strength, ductility and hardness of die cast A1-7Si-3Cu aluminum alloy was investigated.... The influence of overlap multi-pass friction stir processing on the microstructure and the mechanical properties, in particular, strength, ductility and hardness of die cast A1-7Si-3Cu aluminum alloy was investigated. It was observed that increase in the number of overlap passes friction stir processing resulted in significant refinement and redistribution of aluminum silicon eutectic phase and elimination of casting porosities. The microstructural refinement by the friction stir processing not only increases the ultimate tensile strength from 121 to 273 MPa, but also increases the ductility as observed by the increase in fracture strain from 1.8% to 10%. Analysis of the fractured surface reveals that the microstructural refinement obtained by friction stir processing plays a vital role in transforming the fracture mode from completely mixed mode to the ductile mode of the fracture with increasing number of passes. The change in the size, shape, morphology and distribution of eutectic silicon particles and elimination of the porosities are the main reasons for the increases in tensile strength and ductility due to friction stir processing. 展开更多
关键词 Friction stir processing Overlap multi-pass Microstructure Mechanical properties
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Training of Multi-layered Neural Network for Data Enlargement Processing Using an Activity Function 认领 引用 被引量：1
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作者 Betere Job Isaac Hiroshi Kinjo +1 位作者 Kunihiko Nakazono Naoki Oshiro 《Journal of Electrical Engineering》 2019年第1期1-7,共7页
In this paper, we present a study on activity functions for an MLNN (multi-layered neural network) and propose a suitable activity function for data enlargement processing. We have carefully studied the training perfo... In this paper, we present a study on activity functions for an MLNN (multi-layered neural network) and propose a suitable activity function for data enlargement processing. We have carefully studied the training performance of Sigmoid, ReLu, Leaky-ReLu and L & exp. activity functions for few inputs to multiple output training patterns. Our MLNNs model has L hidden layers with two or three inputs to four or six outputs data variations by BP (backpropagation) NN (neural network) training. We focused on the multi teacher training signals to investigate and evaluate the training performance in MLNNs to select the best and good activity function for data enlargement and hence could be applicable for image and signal processing (synaptic divergence) along with the proposed methods with convolution networks. We specifically used four activity functions from which we found out that L & exp. activity function can suite DENN (data enlargement neural network) training since it could give the highest percentage training abilities compared to the other activity functions of Sigmoid, ReLu and Leaky-ReLu during simulation and training of data in the network. And finally, we recommend L & exp. function to be good for MLNNs and may be applicable for signal processing of data and information enlargement because of its performance training characteristics with multiple teacher training patterns using original generated data and hence can be tried with CNN (convolution neural networks) of image processing. 展开更多
关键词 Data enlargement processing MLNN activity function multi teacher training signals BP NN CNN
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A design and application of compound multi-functional sensor in wood-based panel processing 认领 引用
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作者 XU Kai-hong ZHOU Ding-guo 《Journal of Forestry Research》 CAS 2006年第4期319-322,共4页
A compound multi-functional sensor was designed by the study on the on-line testing technology of wood-based panels, and its properties of shape, functions, size, resistance to special environment were studied in deta... A compound multi-functional sensor was designed by the study on the on-line testing technology of wood-based panels, and its properties of shape, functions, size, resistance to special environment were studied in details. The operational principles of different sensors, technical flow of manufacturing, development of software systems of special functions, and the assessments of technical specification were also be introduced. This sensor adopted many new technologies, such as the applications of piezoresistant effect and heat sensitive effect can effectively measure the pressure and temperature, digital signal processing technology was used to extract and treat signals, and resist interference, encapsulation technology was used to keep the normal run of sensor under a harsh environment. Thus, the on-line compound multi-functional temperature/pressure sensor can be applied better to supervise the production of wood-based panels. All technical specifications of the compound multi-functional sensor were tested and the results met the requirements of the equipments. 展开更多
关键词 Wood-based panel processing Multi-functional sensor Piezoresistant effect Heat sensitive effect
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Machine Learning‐Driven Predictive Modeling and Multi‐Objective Exploration of Oxaliplatin‐Loaded Nanocarriers for Enhanced Loading and Encapsulation Efficiency 认领 引用
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作者 Abbas Rahdar Maryam Shirzad +1 位作者 Sonia Fathi‐Karkan M.Ali Aboudzadeh 《Materials Genome Engineering Advances》 CAS CSCD 2026年第2期75-85,共11页
Oxaliplatin(OXA),a critical third‐generation platinum chemotherapeutic,is significantly limited by suboptimal loading capacity and encapsulation efficiency in nanoparticle‐based delivery systems.To address this,we d... Oxaliplatin(OXA),a critical third‐generation platinum chemotherapeutic,is significantly limited by suboptimal loading capacity and encapsulation efficiency in nanoparticle‐based delivery systems.To address this,we developed an integrated machine learning(ML)and multi‐objective optimization(MOO)framework for the simultaneous prediction and exploration of loading efficiency(LE)and encapsulation efficiency(EE).Ensemble learning models,trained on a curated dataset of 70 experimentally characterized nanocarrier formulations,demonstrated robust predictive performance under stringent leave‐one‐paper‐out(LOPO)cross‐validation(R2=0.87 for LE,R2=0.84 for EE).The multi‐objective exploration identified a Pareto‐optimal design space,with predicted performance reaching up to 45.3%LE and 87.2%EE,and pinpointed a balanced knee‐point formulation at 40.2%LE and 83.7%EE.Interpretable ML analysis revealed surface area‐to‐volume ratio,coordination site availability,and zeta potential as the primary physicochemical drivers of OXA loading and retention.Consequently,an optimized nanocarrier profile,characterized by a particle size of 90-110 nm,a negative surface charge,and a carboxylate‐rich composition,was derived.This study establishes a predictive,data‐driven computational framework that bridges the gap between single‐objective prediction and the holistic design of high‐performance nanocarriers,providing a rational blueprint for accelerating the development of more effective OXA‐based nanotherapies for colorectal cancer. 展开更多
关键词 encapsulation efficiency|loading efficiency|machine‐learning|multi‐objective optimization|oxaliplatin
Development of the Data Processing and Analysis System Framework for ICF Experiments 认领 引用 被引量：1
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作者 杨冬 虞孝麒 张弛 《Plasma Science and Technology》 SCIE EI CAS 2005年第3期2872-2874,共3页
An idea is presented about the development of a data processing and analysis system for ICF experiments, which is based on an object oriented framework. The design and preliminary implementation of the data processing... An idea is presented about the development of a data processing and analysis system for ICF experiments, which is based on an object oriented framework. The design and preliminary implementation of the data processing and analysis framework based on the ROOT system have been completed. Software for unfolding soft X-ray spectra has been developed to test the functions of this framework. 展开更多
关键词 initial confinement fusion data processing and analysis object oriented framework ROOT soft X-ray spectra
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A progressive processing method for breast cancer detection via UWB based on an MRI-derived model 认领 引用 被引量：4
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作者 肖夏 宋航 +1 位作者 王宗杰 王梁 《Chinese Physics B》 SCIE EI CAS CSCD 2014年第7期399-403,共5页
Ultra-wideband （UWB） microwave imaging is a promising method for breast cancer detection based on the large contrast of electric parameters between the malignant tumor and its surrounded normal breast organisms. In ... Ultra-wideband （UWB） microwave imaging is a promising method for breast cancer detection based on the large contrast of electric parameters between the malignant tumor and its surrounded normal breast organisms. In the case of multiple tumors being present, the conventional imaging approaches may be ineffective to detect all the tumors clearly. In this paper, a progressive processing method is proposed for detecting more than one tumor. The method is divided into three stages： primary detection, refocusing and image optimization. To test the feasibility of the approach, a numerical breast model is developed based on the realistic magnetic resonance image （MRI）. Two tumors are assumed embedded in different positions. Successful detection of a 3.6 mm-diameter tumor at a depth of 42 mm is achieved. The correct information of both tumors is shown in the reconstructed image, suggesting that the progressive processing method is promising for multi-tumor detection. 展开更多
关键词 breast cancer detection, multi-tumor, progressive processing MRI-derived model
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Alunite processing method selection using the AHP and TOPSIS approaches under fuzzy environment 认领 引用 被引量：4
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作者 Alizadeh Shahab Salari Rad Mohammad Mehdi Bazzazi Abbas Aghajani 《International Journal of Mining Science and Technology》 EI CAS CSCD 2016年第6期1017-1023,共7页
Alunite is the most important non bauxite resource for alumina. Various methods have been proposed and patented for processing alunite, but none has been performed at industrial scale and no technical,operational and ... Alunite is the most important non bauxite resource for alumina. Various methods have been proposed and patented for processing alunite, but none has been performed at industrial scale and no technical,operational and economic data is available to evaluate methods. In addition, selecting the right approach for alunite beneficiation, requires introducing a wide range of criteria and careful analysis of alternatives.In this research, after studying the existing processes, 13 methods were considered and evaluated by 14 technical, economic and environmental analyzing criteria. Due to multiplicity of processing methods and attributes, in this paper, Multi Attribute Decision Making methods were employed to examine the appropriateness of choices. The Delphi Analytical Hierarchy Process(DAHP) was used for weighting selection criteria and Fuzzy TOPSIS approach was used to determine the most profitable candidates. Among 13 studied methods, Spanish, Svoronos and Hazan methods were respectively recognized to be the best choices. 展开更多
关键词 Alunite Mineral processing methods Multi Attribute Decision Making Delphi Analytical Hierarchy Process （DAHP）Fuzzy TOPSIS
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Automatic recognition of defects in plasma-facing material using image processing technology 认领 引用
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作者 吕建骅 牛春杰 +3 位作者 崔运秋 陈超 倪维元 范红玉 《Plasma Science and Technology》 SCIE EI CAS CSCD 2023年第12期122-130,共9页
Observing and analyzing surface images is critical for studying the interaction between plasma and irradiated plasma-facing materials.This paper presents a method for the automatic recognition of bubbles in transmissi... Observing and analyzing surface images is critical for studying the interaction between plasma and irradiated plasma-facing materials.This paper presents a method for the automatic recognition of bubbles in transmission electron microscope(TEM)images of W nanofibers using image processing techniques and convolutional neural network(CNN).We employ a three-stage approach consisting of Otsu,local-threshold,and watershed segmentation to extract bubbles from noisy images.To address over-segmentation,we propose a combination of area factor and radial pixel intensity scanning.A CNN is used to recognize bubbles,outperforming traditional neural network models such as Alex Net and Google Net with an accuracy of 97.1%and recall of 98.6%.Our method is tested on both clear and blurred TEM images,and demonstrates humanlike performance in recognizing bubbles.This work contributes to the development of quantitative image analysis in the field of plasma-material interactions,offering a scalable solution for analyzing material defects.Overall,this study's findings establish the potential for automatic defect recognition and its applications in the assessment of plasma-material interactions.This method can be employed in a variety of specialties,including plasma physics and materials science. 展开更多
关键词 image processing automatic defect analysis object detection convolutional neural network
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Multi-objective optimization of grinding process parameters for improving gear machining precision 认领 引用 被引量：4
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作者 YOU Tong-fei HAN Jiang +4 位作者 TIAN Xiao-qing TANG Jian-ping LU Yi-guo LI Guang-hui XIA Lian 《Journal of Central South University》 SCIE EI CAS CSCD 2025年第2期538-551,共14页
The gears of new energy vehicles are required to withstand higher rotational speeds and greater loads,which puts forward higher precision essentials for gear manufacturing.However,machining process parameters can caus... The gears of new energy vehicles are required to withstand higher rotational speeds and greater loads,which puts forward higher precision essentials for gear manufacturing.However,machining process parameters can cause changes in cutting force/heat,resulting in affecting gear machining precision.Therefore,this paper studies the effect of different process parameters on gear machining precision.A multi-objective optimization model is established for the relationship between process parameters and tooth surface deviations,tooth profile deviations,and tooth lead deviations through the cutting speed,feed rate,and cutting depth of the worm wheel gear grinding machine.The response surface method(RSM)is used for experimental design,and the corresponding experimental results and optimal process parameters are obtained.Subsequently,gray relational analysis-principal component analysis(GRA-PCA),particle swarm optimization(PSO),and genetic algorithm-particle swarm optimization(GA-PSO)methods are used to analyze the experimental results and obtain different optimal process parameters.The results show that optimal process parameters obtained by the GRA-PCA,PSO,and GA-PSO methods improve the gear machining precision.Moreover,the gear machining precision obtained by GA-PSO is superior to other methods. 展开更多
关键词 worm wheel gear grinding machine gear machining precision machining process parameters multi objective optimization
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Processing of 8-Channel Synchronous Electro-Cardiograph 认领 引用
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作者 赵捷 韩月秋 《Journal of Beijing Institute of Technology》 EI CAS 2002年第1期66-70,共5页
A real time algorithm is presented here to recognize and analyze 8 channel simultaneous electro cardiograph(ECG). The algorithm transforms 8 channel simultaneous ECG into three orthogonal vectors and spatial velocity ... A real time algorithm is presented here to recognize and analyze 8 channel simultaneous electro cardiograph(ECG). The algorithm transforms 8 channel simultaneous ECG into three orthogonal vectors and spatial velocity first, then forms the spatial velocity sample, and uses this spatial velocity sample to recognize each beat. The algorithm computes the averaged parameters by using averaged spatial velocity and the averaged ECG and the current parameters by using the current beat period and current width of QRS. The algorithm can recognize P, QRS and T onsets and ends of simultaneous 12 lead ECG precisely, and some arrhythmias such as premature ventricular beat, ventricular escape beat, R on T, bigeminy, trigeminy. The algorithm software works well on a real 8 channel ECG system and meets the demands of designing. 展开更多
关键词 multi lead electro cardiograph embedded system real time computer processing
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Point Cloud Processing Methods for 3D Point Cloud Detection Tasks 认领 引用
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作者 WANG Chongchong LI Yao +2 位作者 WANG Beibei CAO Hong ZHANG Yanyong 《ZTE Communications》 2023年第4期38-46,共9页
Light detection and ranging(LiDAR)sensors play a vital role in acquiring 3D point cloud data and extracting valuable information about objects for tasks such as autonomous driving,robotics,and virtual reality(VR).Howe... Light detection and ranging(LiDAR)sensors play a vital role in acquiring 3D point cloud data and extracting valuable information about objects for tasks such as autonomous driving,robotics,and virtual reality(VR).However,the sparse and disordered nature of the 3D point cloud poses significant challenges to feature extraction.Overcoming limitations is critical for 3D point cloud processing.3D point cloud object detection is a very challenging and crucial task,in which point cloud processing and feature extraction methods play a crucial role and have a significant impact on subsequent object detection performance.In this overview of outstanding work in object detection from the 3D point cloud,we specifically focus on summarizing methods employed in 3D point cloud processing.We introduce the way point clouds are processed in classical 3D object detection algorithms,and their improvements to solve the problems existing in point cloud processing.Different voxelization methods and point cloud sampling strategies will influence the extracted features,thereby impacting the final detection performance. 展开更多
关键词 point cloud processing 3D object detection point cloud voxelization bird's eye view deep learning
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Multi-wavelength optical information processing with deep reinforcement learning 认领 引用 被引量：3
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作者 Qiuquan Yan Hao Ouyang +6 位作者 Zilong Tao Meili Shen Shiyin Du Jun Zhang Hengzhu Liu Hao Hao Tian Jiang 《Light: Science & Applications》 SCIE EI CAS CSCD 2025年第6期1643-1654,共12页
Multi-wavelength optical information processing systems are commonly utilized in optical neural networks and broadband signal processing.However,their effectiveness is often compromised by frequency-selective response... Multi-wavelength optical information processing systems are commonly utilized in optical neural networks and broadband signal processing.However,their effectiveness is often compromised by frequency-selective responses caused by fabrication,transmission,and environmental factors.To mitigate these issues,this study introduces a deep reinforcement learning calibration(DRC)method inspired by the deep deterministic policy gradient training strategy.This method continuously and autonomously learns from the system,effectively accumulating experiential knowledge for calibration strategies and demonstrating superior adaptability compared to traditional methods.In systems based on dispersion compensating fiber,micro-ring resonator array,and Mach-Zehnder interferometer array that use multiwavelength optical carriers as the light source,the DRC method enables the completion of the corresponding signal processing functions within 21 iterations.This method provides efficient and accurate control,making it suitable for applications such as optical convolution computation acceleration,microwave photonic signal processing,and optical network routing. 展开更多
关键词 calibration deep deterministic policy gradient optical neural networks deep reinforcement learning deep deterministic policy gradient training strategythis multi wavelength optical information processing broadband signal processinghowevertheir
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Infrared Image Target Segmentation Processing Based On Space-Time Combination 认领 引用 被引量：3
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作者 Chuanwen Liu 《通讯和计算机（中英文版）》 2006年第3期102-108,共7页
This paper puts forward a scheme of target time-domain segmentation on the basis of analyzing time-domain characteristics of sequence images and targets＇ gray level characteristics in time-domain. On the suggestion o... This paper puts forward a scheme of target time-domain segmentation on the basis of analyzing time-domain characteristics of sequence images and targets＇ gray level characteristics in time-domain. On the suggestion of multi-variable joint distribution probability, we discover a new target segmentation method based on space-time joint on the help of the method that makes use of space-time fusing to enhance targets. And the new method has considered both targets＇ gray level distributing characteristics in single-frame image and their gray levels and moving speed continuities in bordered some frame images. Joining both of the segmented images and the realization of time-domain processing and single-frame processing parallel can greatly cut calculating time and apparently improve the effect of image segmentation. The result of experiment indicates that it is feasible to fuse two-frame image of single-frame target enhancing and time-domain target enhancing first and segment them secondly, and it can also greatly improve the precision and universality of segmentation. 展开更多
关键词 Infrared Small Target Object Segmentation Time-domain Processing Time-domain Segmentation Image Fusing
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Parallel Image Processing Technology of Surface Detection System 认领 引用 被引量：2
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作者 LI Chang-le CHENG Wan-sheng FAN Ji-zhuang ZHAO Jie 《Semiconductor Photonics and Technology》 2008年第4期217-223,243,共7页
To improve image processing speed and detection precision of a surface detection system on a strip surface,based on the analysis of the characteristics of image data and image processing in detection system on the str... To improve image processing speed and detection precision of a surface detection system on a strip surface,based on the analysis of the characteristics of image data and image processing in detection system on the strip surface,the design of parallel image processing system and the methods of algorithm implementation have been studied. By using field programmable gate array(FPGA) as hardware platform of implementation and considering the characteristic of detection system on the strip surface,a parallel image processing system implemented by using multi IP kernel is designed. According to different computing tasks and the load balancing capability of parallel processing system,the system could set different calculating numbers of nodes to meet the system's demand and save the hardware cost. 展开更多
关键词 parallel image processing parallel algorithm surface defect FPGA multi IP core
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An Improved Variant of Multi-Population Cooperative Constrained Multi-Objective Optimization(MCCMO)for Multi-Objective Optimization Problem 认领 引用
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作者 Muhammad Waqar Khan Adnan Ahmed Siddiqui Syed Sajjad Hussain Rizvi 《Computers, Materials & Continua》 SCIE EI 2026年第2期1874-1888,共15页
The multi-objective optimization problems,especially in constrained environments such as power distribution planning,demand robust strategies for discovering effective solutions.This work presents the improved variant... The multi-objective optimization problems,especially in constrained environments such as power distribution planning,demand robust strategies for discovering effective solutions.This work presents the improved variant of the Multi-population Cooperative Constrained Multi-Objective Optimization(MCCMO)Algorithm,termed Adaptive Diversity Preservation(ADP).This enhancement is primarily focused on the improvement of constraint handling strategies,local search integration,hybrid selection approaches,and adaptive parameter control.Theimproved variant was experimented on with the RWMOP50 power distribution systemplanning benchmark.As per the findings,the improved variant outperformed the original MCCMO across the eleven performance metrics,particularly in terms of convergence speed,constraint handling efficiency,and solution diversity.The results also establish that MCCMOADP consistently delivers substantial performance gains over the baseline MCCMO,demonstrating its effectiveness across performancemetrics.The new variant also excels atmaintaining the balanced trade-off between exploration and exploitation throughout the search process,making it especially suitable for complex optimization problems in multiconstrained power systems.These enhancements make MCCMO-ADP a valuable and promising candidate for handling problems such as renewable energy scheduling,logistics planning,and power system optimization.Future work will benchmark the MCCMO-ADP against widely recognized algorithms such as NSGA-Ⅱ,NSGA-Ⅲ,and MOEA/D and will also extend its validation to large-scale real-world optimization domains to further consolidate its generalizability. 展开更多
关键词 MCCMO algorithms adaptive diversity preservation RWMOP50 power distribution system multi-modal multi objective optimization evolutionary algorithm multi objective problem
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Intelligent Express Delivery System Based on Video Processing 认领 引用
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作者 Chuang Xu Yanqing Wang +1 位作者 Ruyu Sheng Wenjun Lu 《国际计算机前沿大会会议论文集》 EI 2021年第1期370-379,共10页
Although the scale of the express industry is large, it is difficult toachieve the function of fully intelligent receiving and sending express. In thispaper, the intelligent express delivery system is proposed based o... Although the scale of the express industry is large, it is difficult toachieve the function of fully intelligent receiving and sending express. In thispaper, the intelligent express delivery system is proposed based on the imageand video processing technology of OpenCV, the Faster R-CNN object detectionalgorithm and other technologies. Through the depth camera and electronic scale,it can identify the object category, volume and weight of the items placed on thescale by the sender and store the video of the objects packed into the cabinet. Theoverall framework of the systemwas constructed;key technologies were applied torealize the system;the function of the system was tested. The experimental resultsshow that it achieves the intelligent automation of delivery and delivery throughthe integrated express delivery system of intelligent identification and informationtraceability, which promotes the development of express delivery industry. 展开更多
关键词 Video processing Object recognition Intelligent express delivery system
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