scholarly journals Particle swarm optimization based generation maintenance scheduling using probabilistic approach

2012 ◽  
Vol 30 ◽  
pp. 1146-1154 ◽  
Author(s):  
K. Suresh ◽  
N. Kumarappan
Keyword(s):  
Particle Swarm Optimization ◽  
Probabilistic Approach ◽  
Particle Swarm ◽  
Maintenance Scheduling ◽  
Swarm Optimization

Applying Multi-Objective Particle Swarm Optimization to Maintenance Scheduling for CNC Machine Tools

2014 ◽  
Vol 721 ◽  
pp. 144-148 ◽  
Author(s):  
Zhi Hui Yao ◽  
Min Zhou
Keyword(s):  
Mathematical Model ◽  
Particle Swarm Optimization ◽  
Machine Tools ◽  
Particle Swarm ◽  
Maintenance Scheduling ◽  
Cnc Machine Tools ◽  
Maintenance Cost ◽  
Cnc Machine ◽  
Swarm Optimization ◽  
Multi Objective

This paper focuses on the maintenance scheduling for CNC machine tools. A bi-objective mathematical model is built with the repair time and maintenance cost. A multi-objective particle swarm optimization (MOPSO), which combines the global best position adaptive selection and local search, is proposed to solve the mathematical model. The results show that MOPSO has a better performance than other method for solving the maintenance scheduling. They also show that MOPSO is an effective algorithm that has strong convergence.

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