Multi-scenario Multi-objective Optimization with Applications in Engineering Design

Margaret M. Wiecek (), Vincent Y. Blouin (), Georges M. Fadel (), Alexander Engau (), Brian J. Hunt () and Vijay Singh ()
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Margaret M. Wiecek: Clemson University
Vincent Y. Blouin: Clemson University
Georges M. Fadel: Clemson University
Alexander Engau: University of Waterloo
Brian J. Hunt: Clemson University
Vijay Singh: Clemson University

A chapter in Multiobjective Programming and Goal Programming, 2009, pp 283-298 from Springer

Abstract: Abstract The notion of multi-scenario multi-objective optimization is proposed as a methodological framework for handling engineering design and other decision problems represented as a collection of multi-criteria optimization problems. Three specific research issues are discussed in this context, namely, the modelling of decision maker's preferences, the development of a concept of optimality, and the development of solution approaches to finding a preferred feasible solution for the overall problem. Two models of preferences that generalize the classical Pareto preference and two solution approaches to a class of multi-scenario multi-objective optimization problems are presented. Illustrative examples are included.

Keywords: Engineering design; Multi-objective optimization; Multi-scenario optimization; Preferences (search for similar items in EconPapers)
Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnechp:978-3-540-85646-7_26

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DOI: 10.1007/978-3-540-85646-7_26

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