Redundancy strategies assessment and optimization of k-out-of-n systems based on Markov chains and genetic algorithms

标题
Redundancy strategies assessment and optimization of k-out-of-n systems based on Markov chains and genetic algorithms
作者
关键词
Redundancy allocation problem, K-mixed redundancy strategy, k, -out-of-, n, systems, Markov chain, Monte carlo simulation
出版物
RELIABILITY ENGINEERING & SYSTEM SAFETY
Volume 221, Issue -, Pages 108277
出版商
Elsevier BV
发表日期
2021-12-20
DOI
10.1016/j.ress.2021.108277

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search