Multi-objective optimization for k-out-of-n redundancy allocation problem
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Publication Details
Author list: Sooktip T., Wattanapongsakorn N., Coit D.W., Chatwattanasiri N.
Publisher: Hindawi
Publication year: 2012
Start page: 1050
End page: 1054
Number of pages: 5
ISBN: 9781467307888
ISSN: 0146-9428
eISSN: 1745-4557
Languages: English-Great Britain (EN-GB)
Abstract
The multi-objective optimization for k-out-of-n redundancy allocation problem with multiple k-out-of-n subsystems connected in series considering k impacts the cost function is presented. The design objective is to select multiple components for a subsystem to maximize system reliability and minimize system cost while satisfying system requirement constraints. Mixing of non-identical component types is allowed in each subsystem as well as at system level. In the design process, component selection and k value are considered as decision variables for each subsystem. In practice, different values of k and component selection provided different design choices. In this paper, k impacts the cost function. To reduce the system design cost, multiple low-cost components may be preferred, because they are cheaper than a highly reliable component that has unaffordable cost. In this case, k > 1 is considered, when multiple low-cost components are required to function in a subsystem. The approach is demonstrated on a test problem with interesting results. A Genetic algorithm is effectively applied to solve the multi-objective optimization problem. ฉ 2012 IEEE.
Keywords
k-outof-n redundancy, weighted sum
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