Hybrid PSO-SQP Algorithm for Solving System Reliability Allocation Optimization
- DOI
- 10.2991/meita-15.2015.89How to use a DOI?
- Keywords
- system reliability; reliability allocation; particle swarm optimization; sequential quadratic programming
- Abstract
System reliability allocation is an important ingredient in system reliability design, and it is also a decision-making issue of reliability engineering. To achieve the optimization of system reliability allocation, an optimization model for system reliability allocation, which takes the system cost as the objective function, is constructed through the general cost function. In order to overcome the shortcomings of particle swarm optimization (PSO) appearing in reliability allocation optimization, the premature and/or slow speed of convergence in later period, the sequential quadratic programming (SQP) was introduced to improve the PSO algorithm. The algorithm uses PSO as the global optimizer while the SQP is employed for accelerating the local search. Thus, the particles are able to search the whole space while searching for local optimization fast, which not only assures the convergence of the algorithm, but also increases the probability of obtaining the global optimum. Applied the algorithm to the problem of system reliability allocation, the simulation results show that it has excellent global search capability and provides rational optimization results compared to the existing approaches.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Cheng Tang AU - Shu-xiang Guo AU - Yan-yu Mo PY - 2015/08 DA - 2015/08 TI - Hybrid PSO-SQP Algorithm for Solving System Reliability Allocation Optimization BT - Proceedings of the 2015 International Conference on Materials Engineering and Information Technology Applications PB - Atlantis Press SP - 490 EP - 495 SN - 2352-5401 UR - https://doi.org/10.2991/meita-15.2015.89 DO - 10.2991/meita-15.2015.89 ID - Tang2015/08 ER -