Premium
TOPASE: Tools for Operability Assessment and Support Enhancement for life cycle system performance optimisation
Author(s) -
DUCAMP Christophe,
Elegbede Charles
Publication year - 2014
Publication title -
incose international symposium
Language(s) - English
Resource type - Journals
ISSN - 2334-5837
DOI - 10.1002/j.2334-5837.2014.00003.x
Subject(s) - operability , component (thermodynamics) , computer science , genetic algorithm , mathematical optimization , reliability engineering , engineering , machine learning , mathematics , physics , thermodynamics
In this paper, the authors propose a methodology to optimize the overall system performances like the availability and the cost of a system subject to availability, cost and common cause failure constraints. The system to be optimized consists of n components and for each component, there are many suppliers which propose their offers, so one has to choose the best combination for the n components to design the system. The problem is NP‐hard and is also (discrete) multi‐objective optimization problem. The model is based on the Markovian assumption, and a genetic algorithm is used to solve this combinatorial problem in a reasonable computing time.