A Multi-Objective Genetic Algorithm for Software Personnel Staffing for HCIM Solutions

نویسندگان

  • Enrique Jiménez
  • Ricardo Colomo Palacios
  • Juan Miguel Gómez
چکیده

The pervasive potential of artificial intelligence techniques in business scenarios has gained momentum recently through the combination of traditional software engineering disciplines and cutting-edge computer science research areas such as neural networks or genetic algorithms. Following this approach, MORGANA is a platform to perform competence oriented personnel staffing in software projects by means of a multi-objective genetic algorithm. The system is designed to be part of global human and intellectual capital management solutions. The main goal of MORGANA is to assist software project managers, by providing a comprehensible artificial intelligence-based formal framework to optimize efficiency and improve person-role fit.

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عنوان ژورنال:
  • IJWP

دوره 6  شماره 

صفحات  -

تاریخ انتشار 2014