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Comprehensive learning phasor particle swarm optimization of structures under limited natural frequency conditions
The paper presents the combined phasor particle swarm optimization and comprehensive learning method for the optimal design of space truss structures...
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A novel stacking-based ensemble learning model for drilling efficiency prediction in earth-rock excavation
目的对钻进效率进行精确预测是制定土方开挖进度计划的关键。但现有预测方法多采用单个机器学**模型，存在参数敏感性和过拟合等问题，且往往忽略了环境因素和人员操作因素的影响。针对这些问题，本文提出一种同时考虑多种因素综合影响的新的集成学**预测方法。
创新点1....
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Collaborative optimization of exhaust gas recirculation and Miller cycle of two-stage turbocharged marine diesel engines based on particle swarm optimization
To meet increasingly stringent emission standards and lower the brake-specific fuel consumption (BSFC) of marine engines, a collaborative...
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A novel stacking-based ensemble learning model for drilling efficiency prediction in earth-rock excavation
目的对钻进效率进行精确预测是制定土方开挖进度计划的关键。但现有预测方法多采用单个机器学**模型, 存在参数敏感性和过拟合等问题, 且往往忽略了环境因素和人员操作因素的影响。针对这些问题, 本文提出一种同时考虑多种因素综合影响的新的集成学**预测方法。
创新点1....
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Recycling waste crystalline-silicon solar cells: Application as high performance Si-based anode materials for lithium-ion batteries
Recycling useful materials such as Ag, Al, Sn, Cu and Si from waste silicon solar cell chips is a sustainable project to slow down the ever-growing...
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Visualization detection of slurry transportation pipeline based on electrical capacitance tomography in mining filling
In the long distance transportation of slurry filled for mining filling, there exist complex variation rules of pressure and flow velocity, pipe...
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Application of SVM and PCA-CS algorithms for prediction of strip crown in hot strip rolling
To make up the poor quality defects of traditional control methods and meet the growing requirements of accuracy for strip crown, an optimized model...
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A prediction method of operation trend for large axial-flow fan based on vibration-electric information fusion
As the critical equipment, large axial-flow fan (LAF) is used widely in highway tunnels for ventilating. Note that any malfunction of LAF can cause...
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Review of optimized layout of electric vehicle charging infrastructures
Electric vehicle is a kind of new energy vehicle which uses batteries as energy supply unit. A huge gap in charging infrastructures will be created...
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Genetic algorithm and particle swarm optimization tuned fuzzy PID controller on direct torque control of dual star induction motor
This study presents analysis, control and comparison of three hybrid approaches for the direct torque control (DTC) of the dual star induction motor...
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A method combining refined composite multiscale fuzzy entropy with PSO-SVM for roller bearing fault diagnosis
Combining refined composite multiscale fuzzy entropy (RCMFE) and support vector machine (SVM) with particle swarm optimization (PSO) for diagnosing...
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Improving performance of open-pit mine production scheduling problem under grade uncertainty by hybrid algorithms
One of the surface mining methods is open-pit mining, by which a pit is dug to extract ore or waste downwards from the earth’s surface. In the mining...
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Cooperative task allocation for heterogeneous multi-UAV using multi-objective optimization algorithm
The application of multiple UAVs in complicated tasks has been widely explored in recent years. Due to the advantages of flexibility, cheapness and...
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Path planning for UAVs formation reconfiguration based on Dubins trajectory
Multiple UAVs are usually deployed to provide robustness through redundancy and to accomplish surveillance, search, attack and rescue missions....
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A compound objective reconfiguration of distribution networks using hierarchical encoded particle swarm optimization
With the development of automation in smart grids, network reconfiguration is becoming a feasible approach for improving the operation of...
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A two-stage CO-PSO minimum structure inversion using CUDA for extracting IP information from MT data
The study of induced polarization (IP) information extraction from magnetotelluric (MT) sounding data is of great and practical significance to the...
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An enhanced artificial bee colony optimizer and its application to multi-level threshold image segmentation
A modified artificial bee colony optimizer (MABC) is proposed for image segmentation by using a pool of optimal foraging strategies to balance the...
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A reduced and optimized kinetic mechanism for coke oven gas as a clean alternative vehicle fuel
A reduced and optimized kinetic mechanism was built for coke oven gas (COG) as a clean alternative vehicle fuel. This mechanism was constructed by...
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Research on optimizing the merging results of multiple independent retrieval systems by a discrete particle swarm optimization
The result merging for multiple Independent Resource Retrieval Systems (IRRSs), which is a key component in develo** a meta-search engine, is a...
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Analysis of affective ECG signals toward emotion recognition
Recently, as recognizing emotion has been one of the hallmarks of affective computing, more attention has been paid to physiological signals for...