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Blouin Vincent Y., Hunt Brian J., Wiecek Margaret W.
MCDM with Relative Importance of Criteria: Application to Configuration Design of Vehicles
Multiple Criteria Decision Making / University of Economics in Katowice, 2009, vol. 4, s. 11-39, bibliogr. 33 poz.
Słowa kluczowe
Optimum Pareto, Podejmowanie decyzji, Proces projektowania, Algorytmy genetyczne, Samochody
Pareto optimality, Decision making, Design process, Genetic algorithms, Automobiles
summ., Korespondencja z redakcją: numeracja wpisana za zgodą redakcji (wynika z ciągłości wydawniczej serii MCDM) - brak numeracji na stronie tytułowej
In this article, a preference model of relative importance of criteria is presented and applied to a vehicle configuration design problem formulated as a multi-objective program. The model is based on convex cones and extends the classical notion of Pareto optimality. Preferences quantifies as allowable tradeoffs are elicited from the decision maker and used for the construction of a new preference. In effect, the Pareto set is reduced which facilitates the process of choosing a final preferred solution. Configuration design of mechanical systems corresponds to finding the placement of a set of components such that performance criteria are optimized while satisfying design constraints. The presented configuration design problem involves designing a midsize truck for optimum vehicle dynamic behavior, survivability, and maintainability in the presence of decision maker's preferences that are included a posteriori. A set of Pareto solutions is first generated with a multi-objective genetic algorithm, and the Pareto solutions are screened according to the preferences quantified as allowable tradeoffs. The model extracts preferred designs from the Pareto set producing a short list of "strong" or "privileged" designs, which is a useful feature when preferences are unknown.(original abstract)
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Biblioteka Główna Uniwersytetu Ekonomicznego w Katowicach
Biblioteka Główna Uniwersytetu Ekonomicznego w Poznaniu
Pełny tekst
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