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Using Firefly Algorithm to Solve Resource Constrained Project Scheduling Problem

  • Pejman Sanaei
  • Reza Akbari
  • Vahid Zeighami
  • Sheida Shams
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 201)

Abstract

The Firefly Algorithm (FA) is among the most recently introduced meta-heuristics. This work aims at study the application of FA algorithm to solve the Resource Constrained Project Scheduling Problem (RCPSP). The algorithm starts by generating a set of random schedules. After that, the initial schedules are improved iteratively using the flying approach proposed by the FA. By termination of algorithm, the best schedule found by the method is returned as the final result. The results of the state-of-art algorithms are used in this work in order to evaluate the performance of the proposed method. The comparison study shows the efficiency of the proposed method in solving RCPSP. The proposed method has competitive performance compared to the other RCPSP solvers.

Keywords

Firefly algorithm Resource constrained project scheduling problem 

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Copyright information

© Springer India 2013

Authors and Affiliations

  • Pejman Sanaei
    • 1
  • Reza Akbari
    • 2
  • Vahid Zeighami
    • 1
  • Sheida Shams
    • 3
  1. 1.Department of MathematicsShiraz UniversityShirazIran
  2. 2.Department of Computer Engineering and Information TechnologyShiraz University of TechnologyShirazIran
  3. 3.Department of ManagementShiraz UniversityShirazIran

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