Optimizing discrete stochastic systems using simulated annealing and simulation
Computers and Industrial Engineering - Special issue: new advances in analysis of manufacturing systems
Swarm intelligence
Recent approaches to global optimization problems through Particle Swarm Optimization
Natural Computing: an international journal
The particle swarm optimization algorithm: convergence analysis and parameter selection
Information Processing Letters
Particle swarm optimisation enhancement approach for improving image quality
International Journal of Innovative Computing and Applications
Sequential metamodelling with genetic programming and particle swarms
Winter Simulation Conference
Convergence time analysis of particle swarm optimization based on particle interaction
Advances in Artificial Intelligence
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We describe an approach based on particle swarm optimization (PSO) for determining the optimal allocation of spares as well as repair resources while satisfying a desired availability constraint. The proposed method expands the original PSO algorithm to handle stochastic constraints and discrete decision variables. Computational results show that the proposed approach is efficient for determining the optimal choice of spares and repair channels for multiechelon repairable-item inventory systems.