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Un Algoritmo Di Simulated Annealing Per La Soluzione Di Un Problema Di Scheduling

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Author Info
Crescenzio Gallo ()

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Abstract

An algorithm of "Simulated Annealing" for solving scheduling problems is presented. The issues related to scheduling are discussed, together with the Simulated Annealing approximation method and its main parameters (freezing, temperature, cooling, number of neighbourhoods to explore), the choices made in defining them for the generation of a good algorithm that efficiently resolves the scheduling problem.

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Publisher Info
Paper provided by Dipartimento di Scienze Economiche, Matematiche e Statistiche, Universita' di Foggia in its series Quaderni DSEMS with number 16-2004.

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Date of creation: Oct 2004
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Handle: RePEc:ufg:qdsems:16-2004

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Related research
Keywords: scheduling; simulated annealing.;

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This page was last updated on 2009-11-12.

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