Multi-objective reliability allocation problem

Projekt:

JVTC

Sammanfattning:
This paper proposes a Non-dominated Sorting Genetic Algorithm
(NSGA-II) to solve the developed model for multi-objective maxmin
redundancy allocation problems (RAPs). In this paper, the
model for the multi-objective max-min RAPs (MOMRAPs),
already presented by others, is developed. To develop this model
the pre-assumption that the redundancy strategies of all
subsystems are active and predetermined, is removed. Selecting
the best redundancy strategy, either active or cold standby, for
each subsystem can improve the reliability of systems. Also, the
proposed model can be used for any system structure such as
series-parallel system, complicated system, and the like. This
problem belongs to the NP-hard class. Therefore, this paper
presents an NSGA-II to find the non-dominated solutions for the
given problem. Finally, the advantages of the presented multiobjective
model and the proposed algorithm are illustrated by
solving test problems taken from the literature and the efficiency
of the proposed method is discussed.

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Författare: Jalal Safari ; Farzaneh Ahmadzadeh
Utgivare: Luleå tekniska universitet
Utgivningsdatum: 2012
Diarienummer: TRV 2011/58769
ISBN: 978-91-7439-539-6
Antal sidor: 6
Språk: Engelska
Kontaktperson: Per Olof Larsson Kråik, UHjbs