Arbeitspapier
Multiple objective step function maximization with genetic algorithms and simulated annealing
We develop a hybrid algorithm using Genetic Algorithms (GA) and Simulated Annealing (SA) to solve multi-objective step function maximization problems. We then apply the algorithm to a specific economic problem which is taken out of the corporate governance literature.
- Sprache
-
Englisch
- Erschienen in
-
Series: Reihe Ökonomie / Economics Series ; No. 141
- Klassifikation
-
Wirtschaft
Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
Mergers; Acquisitions; Restructuring; Voting; Proxy Contests; Corporate Governance
- Thema
-
numerical computation
genetic algorithms
simulated annealing
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Grohall, Günther
Jung, Juergen
- Ereignis
-
Veröffentlichung
- (wer)
-
Institute for Advanced Studies (IHS)
- (wo)
-
Vienna
- (wann)
-
2003
- Handle
- Letzte Aktualisierung
-
20.09.2024, 08:20 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Grohall, Günther
- Jung, Juergen
- Institute for Advanced Studies (IHS)
Entstanden
- 2003
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