Firefly algorithm to solve a project scheduling problem

Broderick Crawford, Ricardo Soto, Franklin Johnson, Carlos Valencia, Fernando Paredes

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations


This paper describes the Software Project Scheduling Problem (SPSP) as a combinatorial optimization problem. In this problem raises the need for a process to assign a set of resources to tasks for a project in a given time, trying to decrease the duration and cost. The workers are the main resource in the project. We present the design of the resolution model to solve the SPSP using an algorithm of fireflies (Firefly Algorithm, FA). We illustrate the experimental results in order to demonstrate the viability and soundness of our approach.

Original languageEnglish
Title of host publicationArtificial Intelligence Perspectives in Intelligent Systems - Proceedings of 5th Computer Science On-line Conference, CSOC 2016
EditorsRadek Silhavy, Roman Senkerik, Zuzana Kominkova Oplatkova, Petr Silhavy, Zdenka Prokopova
PublisherSpringer Verlag
Number of pages10
ISBN (Print)9783319336237
StatePublished - 2016
Event5th Computer Science On-line Conference, CSOC 2016 - Prague, Czech Republic
Duration: 27 Apr 201630 Apr 2016

Publication series

NameAdvances in Intelligent Systems and Computing
ISSN (Print)2194-5357


Conference5th Computer Science On-line Conference, CSOC 2016
Country/TerritoryCzech Republic


  • Firefly algorithm
  • Metaheuristic
  • Project management
  • Software project scheduling problem


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