A fuzzy multidimensional multiple-choice knapsack model for project portfolio selection using an evolutionary algorithm

Project portfolio selection problems are inherently complex problems with multiple and often conflicting objectives. Numerous analytical techniques ranging from simple weighted scoring to complex mathematical programming approaches have been proposed to solve these problems with precise data. Howeve...

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Bibliographic Details
Published in:	Annals of operations research Vol. 206; no. 1; pp. 449 - 483
Main Authors:	Tavana, Madjid, Khalili-Damghani, Kaveh, Abtahi, Amir-Reza
Format:	Journal Article
Language:	English
Published:	Boston Springer US 01.07.2013 Springer Springer Nature B.V
Subjects:	Algorithms Analysis Business and Management Capital budgeting Case studies Combinatorics Data envelopment analysis Decision making Decision support systems Evolutionary algorithms Fuzzy Fuzzy logic Fuzzy set theory Genetic algorithms Heuristic Integer programming Knapsack problem Mathematical analysis Mathematical models Mathematical programming Methods Multidimensional scaling Operations research Operations Research/Decision Theory Optimization Preferences Production planning Scoring Studies Theory of Computation Iran Multidimensional multiple-choice knapsack Efficient epsilon-constraint Multi-objective evolutionary algorithm Data envelopment analysis
ISSN:	0254-5330, 1572-9338
Online Access:	Get full text
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