Multi-Objective Optimization for k-out-of-n Redundancy Allocation Problem
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.
reliability optimization redundancy allocation k-outof-n redundancy multi-objective optimization weighted sum
Tipwimol Sooktip Naruemon Wattanapongsakorn David W. Coit Nida Chatwattanasiri
Department of Computer Engineering King Mongkuts University of Technology Thonburi Bangkok, 10140 T Department of Industrial Engineering Rutgers University Piscataway, NJ 08854, USA
国际会议
成都
英文
1052-1056
2012-06-15（万方平台首次上网日期，不代表论文的发表时间）