Solving the software project scheduling problem using intelligent water drops

Broderick Crawford, Ricardo Soto, Gino Astorga, Carlos Castro, Fernando Paredes, Sanjay Misra, José Miguel Rubio

Research output: Contribution to journalArticlepeer-review

8 Scopus citations


Within the category of project scheduling problems, there is a specific problem within the software industry referred to as the software project scheduling problem. The problem consists in the correct allocation of employees to the different tasks that make up a software project, bearing in mind time and cost restraints. To achieve this goal, the present work first uses metaheuristic intelligent water drops illustrating; this is a recent stochastic swarm-based method increasingly used for solving optimization problems. Finally, the results and comparisons with experiments performed with other techniques are presented, demonstrating the solidity of the approach presented.

Original languageEnglish
Pages (from-to)350-357
Number of pages8
JournalTehnicki Vjesnik
Issue number2
StatePublished - Apr 2018


  • Combinational optimization
  • Computational intelligence
  • Intelligent water drops
  • Metaheuristics
  • Software project scheduling problem


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