Preprint Article Version 1 NOT YET PEER-REVIEWED

Design and analysis of the redundancy allocation problem using a greedy technique

  1. School of Computer Science and Engineering, VIT Chennai, Kelambakkam Road, 600048, Hostel Block A, India
  2. School of Advanced Sciences, Mathematics, VIT Chennai, Kelambakkam Road, 600048, Hostel Block A, India
Version 1 : Received: 8 July 2016 / Approved: 9 July 2016 / Online: 9 July 2016 (05:13:42 CEST)

How to cite: Nanda, S.; SHARMA, S.; Piyush, K.; SHANKER DEB, A.; Vijayalakshmi, C. Design and analysis of the redundancy allocation problem using a greedy technique. Preprints 2016, 2016070015 (doi: 10.20944/preprints201607.0015.v1). Nanda, S.; SHARMA, S.; Piyush, K.; SHANKER DEB, A.; Vijayalakshmi, C. Design and analysis of the redundancy allocation problem using a greedy technique. Preprints 2016, 2016070015 (doi: 10.20944/preprints201607.0015.v1).

Abstract

We present a very computationally light and fast approximation algorithm and then verify it with genetic algorithm and simulated annealing. We show that our algorithm is on par with GA and SA in terms of output produced while having a tightly bounded time complexity. Our algorithm works best when there is a strong positive correlation between the reliability of a component and its cost. We present two algorithms with the same essence. One of them is system cost bounded and the other is target reliability bounded. Our proposed algorithm works on a subsystem level redundancy instead of component level redundancy.

Subject Areas

Redundancy Allocation Problem, Genetic Algorithm, Simulated Annealing, Greedy Algorithm

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