Applying a Distributed Swarm-Based Algorithm to Solve Instances of the RCPSP

  • Authors:

  • Paulo R. Ferreira, Jr.;Ana L. Bazzan

  • Affiliations:

  • Instituto de Informática, UFRGS - Porto Alegre, RS, Brasil and Instituto de Ciências Exatas e Tecnológicas, Feevale - Novo Hamburgo, RS, Brasil;Instituto de Informática, UFRGS - Porto Alegre, RS, Brasil

  • Venue:
  • ANTS '08 Proceedings of the 6th international conference on Ant Colony Optimization and Swarm Intelligence
  • Year:
  • 2008

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Abstract

This paper addresses distributed task scheduling problems generalized as a distributed version of the Resource-Constrained Project Scheduling Problem (RCPSP) [1]. We apply and evaluate a novel approach for the RCPSP that is distributed and based on theoretical models of division of labor in social insects.