Simulation-based optimization for repairable systems using particle swarm algorithm
Talal M. Alkhamis,Mohamed A. Ahmed +1 more
- 04 Dec 2005
- pp 857-861
TL;DR: 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.
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Abstract: 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.
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Citations
Performance analysis of complex repairable industrial systems using PSO and fuzzy confidence interval based methodology.
TL;DR: The proposed confidence interval based fuzzy Lambda-Tau (CIBFLT) methodology for analyzing the behavior of the complex repairable industrial systems is illustrated through a case study of washing unit, the main part of the paper industry.
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Convergence time analysis of particle swarm optimization based on particle interaction
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TL;DR: A statistical interpretation of social-only PSO is introduced in order to capture the essence of particle interaction, which is one of the key mechanisms of PSO, and theoretical results on the convergence time are obtained.
A customized Particle Swarm Optimization algorithm for image enhancement
K. Venkatalakshmi,S. Mercy Shalinie +1 more
- 17 Dec 2010
TL;DR: Results indicate that the proposed PSO yields better results in terms of the maximization of the number of pixels in the edges and the computational time than the standard versions of the PSO based image enhancement technique presented in the literature.
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Metric: A Multi-Echelon Technique for Recoverable Item Control
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