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A genetic approach to computing Independent And Parallelism in logic programs

  • Camino R. Vela
  • Cesar Alonso
  • Ramiro Varela
  • Jorge Puente
Complex Systems Dynamics
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1240)

Abstract

In this paper we face the problem of determining the best partial order among the subgoals of a query in order for this query to be evaluated under Independent AND Parallelism. This is the most common source of parallelism exploited by the different models that have been proposed to evaluate logic programs in parallel. This problem is proved to be NP-hard, so every model utilises its own heuristic strategy in order to estimate the best ordering. Here, a Genetic approach is proposed and compared to conventional heuristic ones. The experimental results show that the Genetic Algorithm produces better solutions, as well as comparable execution times for reasonably sized problems.

Keywords

Parallel Logic Programming Independent AND Parallelism Genetic Algorithms Evolutive Optimization 

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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Camino R. Vela
    • 1
  • Cesar Alonso
    • 1
  • Ramiro Varela
    • 1
  • Jorge Puente
    • 1
  1. 1.Artificial Intelligence CentreUniversity of Oviedo at GijónGijónSpain

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