A Multi-Level Genetic Scheduling in Dynamic Grid Reinforced by the Population Hierarchy: Basic Model

Part of the Studies in Computational Intelligence book series (SCI, volume 419)

Abstract

Exploring the search space in grid scheduling is a very complex problem, mainly because of the sheer size of the space and the dynamics of the system. This chapter presents a general concept of multilevel genetic metaheuristic scheduling, that is easily implemented and adapted to the various scheduling scenarios in the dynamic grid environment.

Keywords

Particle Swarm Optimization Schedule Problem Local Search Method Minimum Completion Time Grid 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 GmbH Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Institute of Computer Science Cracow University of TechnologyCracowPoland

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