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.
- Language
-
Englisch
- Bibliographic citation
-
Series: Reihe Ökonomie / Economics Series ; No. 141
- Classification
-
Wirtschaft
Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
Mergers; Acquisitions; Restructuring; Voting; Proxy Contests; Corporate Governance
- Subject
-
numerical computation
genetic algorithms
simulated annealing
- Event
-
Geistige Schöpfung
- (who)
-
Grohall, Günther
Jung, Juergen
- Event
-
Veröffentlichung
- (who)
-
Institute for Advanced Studies (IHS)
- (where)
-
Vienna
- (when)
-
2003
- Handle
- Last update
-
10.03.2025, 11:41 AM CET
Data provider
This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Grohall, Günther
- Jung, Juergen
- Institute for Advanced Studies (IHS)
Time of origin
- 2003
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