Pareto ant colony optimization with ILP preprocessing in multiobjective project portfolio selection

One of the most important, common and critical management issues lies in determining the “best” project portfolio out of a given set of investment proposals. As this decision process usually involves the pursuit of multiple objectives amid a lack of a priori preference information, its quality can b...

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Veröffentlicht in:	European journal of operational research Jg. 171; H. 3; S. 830 - 841
Hauptverfasser:	Doerner, K.F., Gutjahr, W.J., Hartl, R.F., Strauss, C., Stummer, C.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier B.V 16.06.2006 Elsevier Elsevier Sequoia S.A
Schriftenreihe:	European Journal of Operational Research
Schlagworte:	Ant colony optimization Heuristic Hybrid optimization method Integer linear programming Linear programming Multiobjective combinatorial optimization Operations research Optimization algorithms Pareto optimum Portfolio management Preprocessing Project portfolio selection Studies Integer linear programming Ant colony optimization Multiobjective combinatorial optimization Project portfolio selection Preprocessing Hybrid optimization method
ISSN:	0377-2217, 1872-6860
Online-Zugang:	Volltext
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