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Repositório Aberto da Universidade do Porto
Book . 2012
Data sources: Repositório Aberto da Universidade do Porto
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Biased random-key genetic algorithm for bound-constrained global optimization

descriptionPublicationkeyboard_double_arrow_right Book 01 Jan 2012 Portugal English
Authors: R. M. A. Silva; M. G. C. Resende; P. M. Pardalos; J. F. Gonçalves;

handle: 10216/83700

Biased random-key genetic algorithm for bound-constrained global optimization

Abstract

Global optimization seeks a minimum or maximum of a multimodal function over a discrete or continuous domain. In this paper, we propose a biased random-key genetic algorithm for finding approximate solutions for continuous global optimization problems subject to box constraints. Experimental results illustrate its effectiveness on the robot kinematics problem, a challenging problem according to [7].

Country
Portugal
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Keywords

Ciências sociais::Economia e gestão, Social sciences::Economics and Business, Estudos de gestão, Economia e gestão, Management studies, Economics and Business

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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