Welcome to the InfoSci Platform
Reference Hub2
A Multi-Objective Genetic Algorithm for Software Personnel Staffing for HCIM Solutions

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

Enrique Jiménez-Domingo, Ricardo Colomo-Palacios, Juan Miguel Gómez-Berbís
Copyright: © 2014 |Volume: 6 |Issue: 2 |Pages: 16
ISSN: 1938-0194|EISSN: 1938-0208|EISBN13: 9781466657410|DOI: 10.4018/ijwp.2014040103
Cite Article Cite Article

MLA

Jiménez-Domingo, Enrique, et al. "A Multi-Objective Genetic Algorithm for Software Personnel Staffing for HCIM Solutions." IJWP vol.6, no.2 2014: pp.26-41. http://doi.org/10.4018/ijwp.2014040103

APA

Jiménez-Domingo, E., Colomo-Palacios, R., & Gómez-Berbís, J. M. (2014). A Multi-Objective Genetic Algorithm for Software Personnel Staffing for HCIM Solutions. International Journal of Web Portals (IJWP), 6(2), 26-41. http://doi.org/10.4018/ijwp.2014040103

Chicago

Jiménez-Domingo, Enrique, Ricardo Colomo-Palacios, and Juan Miguel Gómez-Berbís. "A Multi-Objective Genetic Algorithm for Software Personnel Staffing for HCIM Solutions," International Journal of Web Portals (IJWP) 6, no.2: 26-41. http://doi.org/10.4018/ijwp.2014040103

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

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.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.