Two-stage simplified swarm optimization for the redundancy allocation problem in a multi-state bridge system

2016 ◽  
Vol 156 ◽  
pp. 148-158 ◽  
Author(s):  
Chyh-Ming Lai ◽  
Wei-Chang Yeh
Keyword(s):  
Allocation Problem ◽  
Two Stage ◽  
Swarm Optimization ◽  
Redundancy Allocation Problem ◽  
Redundancy Allocation ◽  
Bridge System

scholarly journals A Novel Constraints Model of Credibility-Fuzzy for Reliability Redundancy Allocation Problem by Simplified Swarm Optimization

2021 ◽  
Vol 11 (22) ◽  
pp. 10765
Author(s):  
Hota Chia-Sheng Lin ◽  
Chia-Ling Huang ◽  
Wei-Chang Yeh
Keyword(s):  
Climatic Factors ◽  
Raw Materials ◽  
Fuzzy Theory ◽  
Allocation Problem ◽  
Credibility Theory ◽  
Swarm Optimization ◽  
Redundancy Allocation Problem ◽  
Redundancy Allocation ◽  
Fuzzy Constraints ◽  
Constraints Model

A novel constraints model of credibility-fuzzy for the reliability redundancy allocation problem (RRAP) is studied in this work. The RRAP that must simultaneously decide reliability and redundancy of components is an effective approach in improving the system reliability. In practice various systems, the uncertainty condition of components used in the systems, which few studies have noticed this state over the years, is a concrete fact due to several reasons such as production conditions, different batches of raw materials, time reasons, and climatic factors. Therefore, this study adopts the fuzzy theory and credibility theory to solve the components uncertainty in the constraints of RRAP including cost, weight, and volume. Moreover, the simplified swarm optimization (SSO) algorithm has been adopted to solve the fuzzy constraints of RRAP. The effectiveness and performance of SSO algorithm have been experimented by four famous benchmarks of RRAP.

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