170 citations · 607 across the 22 of their papers we have counts for
23 papers
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…
Multiagent based state transition algorithm for global optimization
Xiaojun Zhou
In this paper, a novel multiagent based state transition optimization algorithm with linear convergence rate named MASTA is constructed. It first generates an initial population ra…
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…
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…
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 Rolling PID Control Approach and its Applications
Xiaojun Zhou
The canonical proportional-integral-derivative (PID) control approach has been widely used in industrial application due to their simplicity and ease of use. However, its correspon…