Please use this identifier to cite or link to this item: http://hdl.handle.net/11422/2591
Type: Relatório
Title: On the efficiency of a genetic algorithm for the multiprocessor scheduling problem
Author(s)/Inventor(s): Corrêa, Ricardo C.
Abstract: In the multiprocessor scheduling problem a given program is to be scheduled in a given multiprocessor system such that the program's execution time is minimized. This problem being very hard to solve exactly, many heuristic methods for finding a suboptimal schedule exist. An efficient genetic algorithm which introduces some knowledge about the scheduling problem represented by the use of a list heuristic in the crossover and mutation genetic operations was recently proposed [3] in this paper we investigate the efficiency of this genetic algorithm from a theoretical point of view. In particular , we demonstrate the ability of the knowledge-augmented crossover operator to generate all the space of feasible solutions.
Keywords: Algoritmos genéticos
Multiprocessadores
Escalonamento multidimensional
Subject CNPq: CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::TEORIA DA COMPUTACAO::ANALISE DE ALGORITMOS E COMPLEXIDADE DE COMPUTACAO
Department : Instituto Tércio Pacitti de Aplicações e Pesquisas Computacionais
In: Relatório Técnico NCE
Issue: 0797
Issue Date: 31-Dec-1997
Publisher country: Brasil
Language: eng
Right access: Acesso Aberto
Citation: CORRÊA, R. C. On the efficiency of a genetic algorithm for the multiprocessor scheduling problem. Rio de Janeiro: NCE, UFRJ, 1997. 14 p. (Relatório Técnico, 07/97)
URI: http://hdl.handle.net/11422/2591
Appears in Collections:Relatórios Técnicos e de Pesquisa

Files in This Item:
File Description SizeFormat 
07_97.pdf698,75 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.