Multiple Objective Step Function Maximization with Genetic Algorithms and Simulated Annealing

Guenther Grohall and Juergen Jung
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Guenther Grohall: Department of Economics and Finance, Institute for Advanced Studies, Vienna

No 141, Economics Series from Institute for Advanced Studies

Abstract: 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.

Keywords: Numerical computation; Genetic algorithms; Simulated annealing (search for similar items in EconPapers)
JEL-codes: G32 G34 (search for similar items in EconPapers)
Pages: 24 pages
Date: 2003-10
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Citations: View citations in EconPapers (1)

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https://irihs.ihs.ac.at/id/eprint/1518 First version, 2003 (application/pdf)

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Persistent link: https://EconPapers.repec.org/RePEc:ihs:ihsesp:141

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