SciELO - Scientific Electronic Library Online

 
vol.10 issue20Methods for Increasing the Number of Experimental Points on a D-Optimal Design author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

  • On index processCited by Google
  • Have no similar articlesSimilars in SciELO
  • On index processSimilars in Google

Share


Ingeniería y Ciencia

Print version ISSN 1794-9165

Abstract

MORILLO, Daniel; MORENO, Luis  and  DIAZ, Javier. Analytic and Heuristic Methodologies for Solving the Resource Constrained Project Scheduling Problem (RCPSP): a Review. Part 2. ing.cienc. [online]. 2014, vol.10, n.20, pp.203-227. ISSN 1794-9165.

This paper exposes and details the most relevant methods for the solution of the Resource Constrained Project Scheduling Problem, RCPSP. A critical review of the state of the art, based on the most significant papers published in the academic literature on this topic is carried out. Initially, several metaheuristic methods of solution are shown, especially those that have been implemented for sequencing problems, and their main characteristics, advantages and disadvantages are explained. Furthermore, the so-called sequence generating schemes and the complexity indices most commonly used are presented. Finally, the test library PSPLIB, used in most academic papers related to such problems is considered.

Keywords : task scheduling; metaheuristic methods; sequence generating schemes; exact method.

        · abstract in Spanish     · text in Spanish     · Spanish ( pdf )