Evolutionary multi-objective optimization on grid environments

  • Authors:
  • Silviu Panica;Dana Petcu;Daniela Zaharie

  • Affiliations:
  • Western University of Timisoara, Timisoara, Romania;Western University of Timisoara, Timisoara, Romania;Western University of Timisoara, Timisoara, Romania

  • Venue:
  • PDCN '08 Proceedings of the IASTED International Conference on Parallel and Distributed Computing and Networks
  • Year:
  • 2008

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Abstract

The aim of this paper is to present the design principles and the implementation of a newly introduced Grid-based framework for solving multi-objective optimization problems with evolutionary algorithms. This framework allows an easy configuration for different application scenarios. Moreover, its basic components can be easily integrated in other frameworks.