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Hybrid genetic and particle swarm algorithm: redundancy allocation problem

International Journal of System Assurance Engineering and Management, 2019
Redundancy allocation problem (RAP) is a non-linear programming problem which is very difficult to solve through existing heuristic and non-heuristic methods. In this research paper, three algorithms namely heuristic algorithm (HA), constraint optimization genetic algorithm (COGA) and hybrid genetic algorithm combined with particle swarm optimization ...
Sarita Devi, Deepika Garg
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IAs based approach for reliability redundancy allocation problems

Applied Mathematics and Computation, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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The robust redundancy allocation problem of series-parallel systems

2013 Chinese Automation Congress, 2013
Redundancy allocation is a technique that has been widely used to improve systems reliability. In this paper, the interval analysis is introduced to represent imprecise component reliabilities, and an order relation is applied in the comparison of interval values.
Wei Wang, Junlin Xiong, Min Xie
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A unified approach for multi objective redundancy allocation problem

2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), 2016
This paper represents to solve the redundancy allocation problem (RAP) occurring in optimization technique. The past research of RAP is basically single objective, which is focused on optimization of only one objective. We can genuinely combine more important aspects like cost, volume and weight to this which will lead to a multiple objective ...
Monalisa Panda, A.K Jagadev
openaire   +1 more source

IPSO-based hybrid approaches for reliability-redundancy allocation problems

Science China Technological Sciences, 2013
The problem of maximizing system reliability through component reliability choices and component redundancy is called reli-ability-redundancy allocation problem (RAP), and it is a difficult but realistic nonlinear mixed-integer optimization problem.
HongQi Zhang   +4 more
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A differential evolution algorithm to solve redundancy allocation problems

International Transactions in Operational Research, 2012
AbstractTo improve system reliability without changing its nature, three methods are proposed. The first method uses more reliable components and the second method provides redundant components within the system. The third method is a combination of these two methods.
Beji, N.   +3 more
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Dynamic Programming Formulation of the Redundancy Allocation Problem

International Journal of Mathematical Education in Science and Technology, 1971
Summary Dynamic programming formulation for obtaining the optimum number of redundancies at each stage in a system is explained in detail. It is also emphasized and illustrated by examples, that the ‘summation’ form of functional equations, as suggested in the paper, provide a faster solution to an otherwise computationally voluminous method.
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An exact algorithm for the reliability redundancy allocation problem

European Journal of Operational Research, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Marco Caserta, Stefan Voß
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Efficiently Solving the Redundancy Allocation Problem Using Tabu Search

IIE Transactions, 2003
A tabu search meta-heuristic has been developed and successfully demonstrated to provide solutions to the system reliability optimization problem of redundancy allocation. Tabu search is particularly well-suited to this problem and it offers distinct advantages compared to alternative optimization methods. While there are many forms of the problem, the
Sadan Kulturel-Konak   +2 more
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Multiple Weighted Objectives Heuristic for the Redundancy Allocation Problem

IEEE Transactions on Reliability, 2006
A new heuristic is proposed and tested for system reliability optimization. The multiple weighted objective heuristic is based on a transformation of the problem into a multiple objective optimization problem, and then ultimately, transformation into a different single objective problem.
D.W. Coit, A. Konak
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