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A New Approach to Solve the Software Project Scheduling Problem Based on Max–Min Ant System

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Modern Trends and Techniques in Computer Science

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 285))

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Abstract

This paper presents a new approach to solve the Software Project Scheduling Problem. This problem is NP-hard and consists in finding a worker-task schedule that minimizes cost and duration for the whole project, so that task precedence and resource constraints are satisfied. Such a problem is solved with an Ant Colony Optimization algorithm by using the Max–Min Ant System and the Hyper-Cube framework. We illustrate experimental results and compare with other techniques demonstrating the feasibility and robustness of the approach, while reaching competitive solutions.

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Notes

  1. 1.

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Author information

Authors and Affiliations

  1. Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile

    Broderick Crawford, Ricardo Soto & Franklin Johnson

  2. Universidad de Playa Ancha, Valparaíso, Chile

    Franklin Johnson

  3. Universidad Finis Terrae, Santiago, Chile

    Broderick Crawford

  4. Universidad Autónoma de Chile, Temuco, Chile

    Ricardo Soto

  5. CNRS, LINA, Université de Nantes, Nantes, France

    Eric Monfroy

  6. Universidad Diego Portales, Santiago, Chile

    Fernando Paredes

Authors
  1. Broderick Crawford
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  2. Ricardo Soto
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  3. Franklin Johnson
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  4. Eric Monfroy
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  5. Fernando Paredes
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Corresponding author

Correspondence to Franklin Johnson .

Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Radek Silhavy

  2. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Roman Senkerik

  3. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Zuzana Kominkova Oplatkova

  4. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Petr Silhavy

  5. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Zdenka Prokopova

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Crawford, B., Soto, R., Johnson, F., Monfroy, E., Paredes, F. (2014). A New Approach to Solve the Software Project Scheduling Problem Based on Max–Min Ant System. In: Silhavy, R., Senkerik, R., Oplatkova, Z., Silhavy, P., Prokopova, Z. (eds) Modern Trends and Techniques in Computer Science. Advances in Intelligent Systems and Computing, vol 285. Springer, Cham. https://doi.org/10.1007/978-3-319-06740-7_4

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  • DOI: https://doi.org/10.1007/978-3-319-06740-7_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06739-1

  • Online ISBN: 978-3-319-06740-7

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