Design Optimization with GA Fitness Functions based on Total Lifecycle Value or Cost (CROSBI ID 516864)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Vučina, Damir ; Lozina, Željan
engleski
Design Optimization with GA Fitness Functions based on Total Lifecycle Value or Cost
The decision making process in multicriterial optimization problems is in many cases based on the a-priori articulation of the compromise integral criterion based on preferences which are frequently of rather intuitive nature. This reduces the comprehensive search for the Pareto front to simpler single-criterion optimization. In this paper, this approach is followed in a specific manner. Instead of the rather arbitrary setting of weight factors in a weighted sum of partial objectives, or compromise selection using the min-max concept related to distance to utopia optima, a lifetime-cost-based integral criterion is used. The GA fitness function is based on the total-lifespan-value aggregate optimality criterion. All nonrecurring investment costs (eg. production costs, mass of material) and recurring operational expenses (maintenance, labour) are discounted accordingly and aggregated into a combined best-compromise fitness metric based on the net present value (NPV) and/or internal rate of return (IRR), which construct the overall fitness function. This approach allows for coupled engineering & financial optimization which approximates real-world decision making.
GA design optimization; total lifespan cost; a-priori compromise formulation
Prihvaćen za objavljivanje na kongresu i časopisu.
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Podaci o prilogu
6-x.
2006.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of 7th WSEAS International Conference on EVOLUTIONARY COMPUTING (EC '06)
WSEAS Press
Podaci o skupu
7th WSEAS International Conference on EVOLUTIONARY COMPUTING (EC '06)
predavanje
12.06.2006-14.06.2006
Cavtat, Hrvatska