Title
Finding compromise solutions in project portfolio selection with multiple experts by inverse optimization
Abstract
This paper deals with project portfolio selection evaluated by multiple experts. The problem consists of selecting a subset of projects that satisfies a set of constraints and represents a compromise among the group of experts. It can be modeled as a multi-objective combinatorial optimization problem and solved by two procedures based on inverse optimization. It requires to find a minimal adjustment of the expert׳s evaluations such that a portfolio becomes ideal in the objective space. Several distance functions are considered to define a measure of the adjustment. The two procedures are applied to randomly generated instances of the knapsack problem and computational results are reported. Finally, two illustrative examples are analyzed and several theoretical properties are proved.
Year
DOI
Venue
2016
10.1016/j.cor.2015.07.006
Computers & Operations Research
Keywords
Field
DocType
Multiple objective programming,Combinatorial optimization,Inverse optimization
Mathematical optimization,Inverse optimization,Project portfolio management,Combinatorial optimization,Portfolio,Multiple experts,Compromise,Knapsack problem,Optimization problem,Mathematics
Journal
Volume
Issue
ISSN
66
C
0305-0548
Citations 
PageRank 
References 
1
0.41
5
Authors
3
Name
Order
Citations
PageRank
Julien Roland1102.08
José Rui Figueira285259.84
Yves De Smet37612.21