170 citations · 675 across the 18 of their papers we have counts for
19 papers
Spatial-temporal associations representation and application for process monitoring using graph convolution neural network
Hao Ren, Xiaojun Liang, Chunhua Yang +2
Thank you very much for the attention and concern of colleagues and scholars in this work. With the comments and guidance of experts, editors, and reviewers, this work has been acc…
Graph neural network-based fault diagnosis: a review
Zhiwen Chen, Jiamin Xu, Cesare Alippi +4
Graph neural network (GNN)-based fault diagnosis (FD) has received increasing attention in recent years, due to the fact that data coming from several application domains can be ad…
A Multiobjective State Transition Algorithm Based on Decomposition
Xiaojun Zhou, Yuan Gao, Shengxiang Yang +2
Aggregation functions largely determine the convergence and diversity performance of multi-objective evolutionary algorithms in decomposition methods. Nevertheless, the traditional…
An ensemble learning framework based on group decision making
Jingyi He, Xiaojun Zhou, Rundong Zhang +1
The classification problem is a significant topic in machine learning which aims to teach machines how to group together data by particular criteria. In this paper, a framework for…
Distributed optimization with nonconvex velocity constraints, nonuniform position constraints and nonuniform stepsizes
Peng Lin, Wei Ren, Chunhua Yang +1
This note is devoted to the distributed optimization problem of multi-agent systems with nonconvex velocity constraints, nonuniform position constraints and nonuniform stepsizes. T…
A Statistical Study on Parameter Selection of Operators in Continuous State Transition Algorithm
Xiaojun Zhou
State transition algorithm (STA) has been emerging as a novel metaheuristic method for global optimization in recent few years. In our previous study, the parameter of transformati…
Distributed Continuous-Time and Discrete-Time Optimization With Nonuniform Unbounded Convex Constraint Sets and Nonuniform Stepsizes
Peng Lin, Wei Ren, Chunhua Yang +1
This paper is devoted to distributed continuous-time and discrete-time optimization problems with nonuniform convex constraint sets and nonuniform stepsizes for general differentia…
A Comparative Study of STA on Large Scale Global Optimization
Xiaojun Zhou
State transition algorithm has been emerging as a new intelligent global optimization method in recent few years. The standard continuous STA has demonstrated powerful global searc…
A matlab toolbox for continuous state transition algorithm
Xiaojun Zhou
State transition algorithm (STA) has been emerging as a novel stochastic method for global optimization in recent few years. To make better understanding of continuous STA, a matla…
A dynamic state transition algorithm with application to sensor network localization
Xiaojun Zhou
The sensor network localization (SNL) problem is to reconstruct the positions of all the sensors in a network with the given distance between pairs of sensors and within the radio…
A Discrete State Transition Algorithm for Generalized Traveling Salesman Problem
Xiaolin Tang, Chunhua Yang, Xiaojun Zhou +1
Generalized traveling salesman problem (GTSP) is an extension of classical traveling salesman problem (TSP), which is a combinatorial optimization problem and an NP-hard problem. I…
A Comparative Study of State Transition Algorithm with Harmony Search and Artificial Bee Colony
Xiaojun Zhou
We focus on a comparative study of three recently developed nature-inspired optimization algorithms, including state transition algorithm, harmony search and artificial bee colony.…
Global solutions to a class of CEC benchmark constrained optimization problems
Xiaojun Zhou
This paper aims to solve a class of CEC benchmark constrained optimization problems that have been widely studied by nature-inspired optimization algorithms. Global optimality cond…
Initial Version of State Transition Algorithm
Xiaojun Zhou, Chunhua Yang, Weihua Gui
In terms of the concepts of state and state transition, a new algorithm-State Transition Algorithm (STA) is proposed in order to probe into classical and intelligent optimization a…
Discrete State Transition Algorithm for Unconstrained Integer Optimization Problems
Xiaojun Zhou
A recently new intelligent optimization algorithm called discrete state transition algorithm is considered in this study, for solving unconstrained integer optimization problems. F…
A new transformation into State Transition Algorithm for finding the global minimum
Xiaojun Zhou, Chunhua Yang, Weihua Gui
To promote the global search ability of the original state transition algorithm, a new operator called axesion is suggested, which aims to search along the axes and strengthen sing…
Nonlinear system identification and control using state transition algorithm
Xiaojun Zhou, Chunhua Yang, Weihua Gui
By transforming identification and control for nonlinear system into optimization problems, a novel optimization method named state transition algorithm (STA) is introduced to solv…
State transition algorithm for traveling salesman problem
Yang Chunhua, Tang Xiaolin, Zhou Xiaojun +1
Discrete version of state transition algorithm is proposed in order to solve the traveling salesman problem. Three special operators for discrete optimization problem named swap, s…
State Transition Algorithm
Xiaojun Zhou, Chunhua Yang, Weihua Gui
In terms of the concepts of state and state transition, a new heuristic random search algorithm named state transition algorithm is proposed. For continuous function optimization p…