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.

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Year of publication:	2003-10
Authors:	Grohall, Guenther ; Jung, Juergen
Institutions:	Department of Economics and Finance Research and Teaching, Institut für Höhere Studien (IHS)
Subject:	Numerical computation \| Genetic algorithms \| Simulated annealing

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Extent:	application/pdf
Series:	Economics Series.
Type of publication:	Book / Working Paper
Language:	English
Notes:	Number 141 24 pages
Classification:	G32 - Financing Policy; Capital and Ownership Structure ; G34 - Mergers; Acquisitions; Restructuring; Corporate Governance
Source:	RePEc - Research Papers in Economics

Persistent link: https://ebvufind01.dmz1.zbw.eu/10005764239