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Conventional and Multirecombinative Evolutionary Algorithms for the Parallel Task Scheduling Problem

  • Susana Esquivel
  • Claudia Gatica
  • Raül Gallard
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2037)

Abstract

The present work deals with the problem of allocating a number of non identical tasks in a parallel system. The model assumes that the system consists of a number of identical processors and that only one task may be executed on a processor at a time. All schedules and tasks are nonpreemptive. Graham’s

Keywords

Genetic Algorithm Schedule Problem Evolutionary Algorithm Task Graph Static Schedule 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Susana Esquivel
  • Claudia Gatica
  • Raül Gallard
    • 1
  1. 1.Laboratorio de Investigación y Desarrollo en Inteligencia ComputacionalUniversidad Nacional de San LuisArgentina

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