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Optimizing Project Time-Cost-Quality By Using Genetic Algorithms

Author

Listed:
  • Constanta-Nicoleta BODEA

    (The Academy of Economic Studies, Bucharest, Romania)

  • Ileana Ruxandra BADEA

    (The Academy of Economic Studies, Bucharest, Romania)

Abstract

Project management causes the problem of efficient resource assignment, activity, time constraints and relationships between activities. Traditional scheduling methods like CPM and PERT are incomplete tools to use in practice because they do not consider constraints regarding resources and cannot be realistic as they consider infinite resources. Optimization of project time-costs-quality is very complex and can be achieved by using meta-heuristic methods as Genetic Algorithms, Ant Algorithm, Tabu Search. In this article we study the state of the art in this domain, define the optimization problem we want to solve and propose some improvements for a genetic algorithm, starting from GENOCOP I (Genetic Algorithm for Numerical Optimizations of Constrained Problems) developed by Michalewicz and Janikow[12], later improved to GENOCOP V (Suzuki [9]).

Suggested Citation

  • Constanta-Nicoleta BODEA & Ileana Ruxandra BADEA, 2009. "Optimizing Project Time-Cost-Quality By Using Genetic Algorithms," Proceedings of the 4th International Conference on Knowledge Management: Projects, Systems and Technologies,Bucharest, November 6-7 2009 34, Faculty of Economic Cybernetics, Statistics and Informatics, Academy of Economic Studies and National Defence University "Carol I", DEPARTMENT FOR MANAGEMENT OF THE DEFENCE RESOURCES AND EDUCATION.
    • Handle: RePEc:rom:confkm:34
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    File URL: https://ccasp.ase.ro/KM2009/34.pdf
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    Cited by:

    1. Maria-Iuliana DASCÃLU, 2010. "Towards Formative E-Assessment In Project Management Through Personalized Automated Feedback," Proceedings of the 5th International Conference on Knowledge Management: Projects, Systems and Technologies,Bucharest, November 12-13 2010 25, Faculty of Economic Cybernetics, Statistics and Informatics, Academy of Economic Studies and National Defence University "Carol I", Department for Management of the Defence Resources and Education.

    More about this item

    Keywords

    planning and scheduling; time-costs trade-off problem; genetic algorithms;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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