Search-based techniques for optimizing software project resource allocation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3103, Issue , 2004, Pages 1425-1426

  Antoniol, G ^a   Di Penta, M ^a   Harman, M ^b  

^a UNIVERSITY OF SANNIO   (Italy)

^b BRUNEL UNIVERSITY   (United Kingdom)

Author keywords

Genetic Algorithms; Queuing Networks; Software Project Management

Indexed keywords

EID: 35048834669     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-24855-2_162     Document Type: Article

References (4)

1. G. Antoniol, A. Cimitile, G. A. Di Lucca, and M. Di Penta. Assessing staffing needs for a software maintenance project through queuing simulation. IEEE Transactions on Software Engineering, 30(1):43-58, Jan 2004.
2. L. Davis. Job-shop scheduling with genetic algorithms. In International Conference on GAs, pages 136-140. Lawrence Erlbaum, 1985.
3. E. Falkenauer. Genetic Algorithms and Grouping Problems. Wiley-Inter Science, Wiley - NY, 1998.
4. E. Hart, D. Corne, and P. Ross. The state of the art in evolutionary scheduling. Genetic Programming and Evolvable Machines, 2004 (to appear).