On the Implementation and Use of a Genetic Algorithm with Genetic Acquisitions

A genetic algorithm is convergent when genetic mutations occur on the objective function gradient direction. These genetic mutations are called genetic acquisitions (Mateescu, 2005). We improved the algorithm and its implementation by using the characteristics of parents in order to generate new individuals. Finally, we applied the genetic algorithm in order to find the parameters of a Cobb-Douglas function.

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Year of publication:	2010
Authors:	Mateescu, George Daniel
Published in:	Journal for Economic Forecasting. - Institutul de Prognoza Economica. - 2010, 2, p. 223-230
Publisher:	Institutul de Prognoza Economica
Subject:	evolutionary algorithms \| optimization

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Type of publication:	Article
Language:	English
Classification:	C61 - Optimization Techniques; Programming Models; Dynamic Analysis ; C63 - Computational Techniques
Source:	RePEc - Research Papers in Economics

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