2026-06-02T15:13:20Zhttps://riuma.uma.es/rest/oai/requestoai:riuma.uma.es:10630/81452026-02-03T11:22:32Zcom_10630_2254col_10630_37953
RIUMA. Repositorio Institucional de la Universidad de Málaga
author
Alba-Torres, Enrique
author
Chicano-García, José-Francisco
2014-10-01T08:05:49Z
2014-10-01T08:05:49Z
2014-10-01
doi: 10.1016/j.ins.2006.12.020
http://hdl.handle.net/10630/8145
A Project Scheduling Problem consists in deciding who does what during the software project lifetime. This is a capital issue in the practice of software engineering, since the total budget and human resources involved must be managed optimally in order to end in a successful project. In short, companies are principally concerned with reducing the duration and cost of projects, and these two goals are in conflict with each other. In this work we tackle the problem by using genetic algorithms (GAs) to solve many different software project scenarios. Thanks to our newly developed instance generator we can perform structured studies on the influence the most important problem attributes have on the solutions. Our conclusions show that GAs are quite flexible and accurate for this application, and an important tool for automatic project management.
eng
Algoritmos genéticos
Software project management with GAs
journal article
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URL
https://riuma.uma.es/bitstreams/ddb2425b-f77e-4ed9-ba9a-c56e23742d00/download
File
MD5
0c34252817678bad474adde67d15f61a
1151300
application/pdf
scheduling-ins.pdf