What is he best known for?
The fields of study he is best known for:
- Mathematical optimization
- Artificial intelligence
- Statistics
Xiaohui Yuan mostly deals with Mathematical optimization, Electric power system, Particle swarm optimization, Control theory and Wind power.
In general Mathematical optimization, his work in Constrained optimization and Heuristic is often linked to Power system simulation linking many areas of study.
His Constrained optimization research focuses on subjects like Penalty method, which are linked to Evolutionary algorithm.
His work in the fields of Electric power system, such as Economic dispatch, intersects with other areas such as Feasible region, Dynamic priority scheduling, Fair-share scheduling and Scheduling.
His work in Particle swarm optimization addresses issues such as Chaotic, which are connected to fields such as Adaptive control, Parameter identification problem, Stability, Identification and Sorting.
Xiaohui Yuan combines subjects such as Mean squared error, Fractional calculus, Autoregressive integrated moving average and Autoregressive–moving-average model with his study of Control theory.
His most cited work include:
- An improved PSO for dynamic load dispatch of generators with valve-point effects (154 citations)
- Design of a fractional order PID controller for hydraulic turbine regulating system using chaotic non-dominated sorting genetic algorithm II (146 citations)
- An improved binary particle swarm optimization for unit commitment problem (146 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Mathematical optimization, Particle swarm optimization, Algorithm, Chaotic and Electric power system.
His research in the fields of Differential evolution, Heuristic and Multi-objective optimization overlaps with other disciplines such as Power system simulation and Economic dispatch.
The various areas that Xiaohui Yuan examines in his Algorithm study include Vibration, Rolling-element bearing, Hilbert–Huang transform and Proportional control.
His Chaotic study combines topics in areas such as Genetic algorithm and Identification.
In his research on the topic of Genetic algorithm, Artificial neural network is strongly related with Crossover.
His Feasible region study deals with Penalty method intersecting with Scheduling.
He most often published in these fields:
- Mathematical optimization (54.43%)
- Particle swarm optimization (17.72%)
- Algorithm (26.58%)
What were the highlights of his more recent work (between 2017-2021)?
- Algorithm (26.58%)
- Mathematical optimization (54.43%)
- Rolling-element bearing (11.39%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Algorithm, Mathematical optimization, Rolling-element bearing, Statistics and Mean squared error.
His Algorithm research includes themes of Adaptive selection, Proportional control, Control theory, Robust control and Fuzzy logic.
In Mathematical optimization, Xiaohui Yuan works on issues like Computation, which are connected to Heuristic.
His Rolling-element bearing research is multidisciplinary, incorporating elements of Hilbert–Huang transform, Variational mode decomposition, Dynamic time warping and Fault detection and isolation.
His Statistics research incorporates themes from Evapotranspiration, Support vector machine and Water resources.
His Mean squared error study incorporates themes from Artificial neural network and Regression.
Between 2017 and 2021, his most popular works were:
- Monthly runoff forecasting based on LSTM–ALO model (43 citations)
- Monthly runoff forecasting based on LSTM–ALO model (43 citations)
- Comparison of LSSVR, M5RT, NF-GP, and NF-SC Models for Predictions of Hourly Wind Speed and Wind Power Based on Cross-Validation (22 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Algorithm
Xiaohui Yuan mostly deals with Algorithm, Statistics, Mean squared error, Environmental science and Water resources.
Xiaohui Yuan has researched Algorithm in several fields, including Vibration, Variational mode decomposition, Rolling-element bearing, Dynamic time warping and Adaptive selection.
His Statistics research integrates issues from Artificial neural network, Selection, Computational intelligence and Surface runoff.
In his work, Xiaohui Yuan performs multidisciplinary research in Mean squared error and Wind power.
A majority of his Environmental science research is a blend of other scientific areas, such as Soft computing, Tree, Precipitation, Watershed and Hydrogeology.
He integrates many fields in his works, including Water resources and Current.
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