@inbook{6fe9dad0455c49b3bbad203b3712b941,
title = "Multi-scenario multi-objective optimization with applications in engineering design",
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.",
author = "Wiecek, {Margaret M.} and Blouin, {Vincent Y.} and Fadel, {Georges M.} and Alexander Engau and Hunt, {Brian J.} and Vijay Singh",
year = "2009",
doi = "10.1007/978-3-540-85646-7_26",
language = "English",
isbn = "9783540856450",
series = "Lecture Notes in Economics and Mathematical Systems",
pages = "283--298",
editor = "Vincent Barichard and Matthias Ehrgott and Xavier Gandibleux and Vincent T'Kindt",
booktitle = "Multiobjective Programming and Goal Programming",
}