Multi-objective engineering design using preferences

Multi-objective engineering design using preferences

0.00 Avg rating0 Votes
Article ID: iaor2009754
Country: United Kingdom
Volume: 40
Issue: 3
Start Page Number: 253
End Page Number: 269
Publication Date: Mar 2008
Journal: Engineering Optimization
Authors: , ,
Keywords: decision theory: multiple criteria, programming: multiple criteria, heuristics: genetic algorithms
Abstract:

System design is a complex task when design parameters have to satisy a number of specifications and objectives which often conflict with those of others. This challenging problem is called multi-objective optimization (MOO). The most common approximation consists in optimizing a single cost index with a weighted sum of objectives. However, once weights are chosen the solution does not guarantee the best compromise among specifications, because there is an infinite number of solutions. A new approach can be stated, based on the designer's experience regarding the required specifications and the associated problems. This valuable information can be translated into preferences for design objectives, and will lead the search process to the best solution in terms of these preferences. This article presents a new method, which enumerates these a priori objective preferences.

Reviews

Required fields are marked *. Your email address will not be published.