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
Authors:	Grohall, Günther ; Jung, Juergen
Publisher:	Vienna : Institute for Advanced Studies (IHS)
Subject:	numerical computation \| genetic algorithms \| simulated annealing

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Series:	Reihe Ökonomie / Economics Series ; 141
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Working Paper
Language:	English
Other identifiers:	741113740 [GVK] hdl:10419/71216 [Handle] RePEc:ihs:ihsesp:141 [RePEc]
Classification:	G32 - Financing Policy; Capital and Ownership Structure ; G34 - Mergers; Acquisitions; Restructuring; Corporate Governance
Source:	EconStor

Persistent link: https://www.econbiz.de/10010292753