Roozbeh . Azizmohammadi; Maghsoud .Amiri; Reza Tavakkoli- Moghadam; Hamid Reza. Mashatzadegan
Volume 14, Issue 42 , October 2016, , Pages 103-121
Abstract
A redundancy allocation problem is a well-known NP-hard problem thatinvolves the selection of elements and redundancy levels to maximize thesystem reliability under various system-level constraints. In many practicaldesign situations, reliability apportionment is complicated because of thepresence of ...
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A redundancy allocation problem is a well-known NP-hard problem thatinvolves the selection of elements and redundancy levels to maximize thesystem reliability under various system-level constraints. In many practicaldesign situations, reliability apportionment is complicated because of thepresence of several conflicting objectives that cannot be combined into asingle-objective function. A stele communications, manufacturing and powersystems are becoming more and more complex, while requiring shortdevelopments schedules and very high reliability, it is becoming increasinglyimportant to develop efficient solutions to the RAP. In this paper, a newhybrid multi-objective competition algorithm (HMOCA)based oncompetitive algorithm (CA) and genetic algorithm (GA) is proposed for thefirst time in multi-objective redundancy allocation problems. In the multiobjectiveformulation, the system reliability is maximized while the cost andvolume of the system are minimized simultaneously. Additionally, ay RSMis employed to tune the CA parameters. The proposed HMOCA is validatedby some examples with analytical solutions. It shows its superiorperformance compared to a NSGA-II and PAES algorithms. Finally, theconclusion is given
Payam Chiniforoshan; Behrouz Pourghannad; Rouzbeh Azizmohammadi; Seyed Hossein Razavi
Volume 6, Issue 16 , June 2007, , Pages 55-74
Abstract
Now days one of the main strategies and policies of firms is purchasing parts from external suppliers. For decision making about selecting suppliers, are considered the different criteria. But because of changes of management levels and external suppliers strategies, could not determine input data precisely. ...
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Now days one of the main strategies and policies of firms is purchasing parts from external suppliers. For decision making about selecting suppliers, are considered the different criteria. But because of changes of management levels and external suppliers strategies, could not determine input data precisely. Hence, considering supplier selection problem with regard to the uncertain criteria is necessary. In this paper, a combinatorial model from the well-known method of Compromise Programming (CP) and Interval Programming will be proposed that is called Interval Compromise Programming (ICP). The model can be used for optimizing multi-objective interval problems. For illustrating the proposed model, will be presented a supplier selection problem by considering the objectives of minimizing rejects and purchase cost and maximizing quality of purchased products, where are considered the input parameters as interval numbers. The obtained results compared to the ideal value of each objective can present a representation from situation of optimistic and pessimistic of the problem under uncertainty.
