@inproceedings{ddbf2a67d7104ce39223603b419f2b2e,
title = "The use of metaheuristics to software project scheduling problem",
abstract = "This paper provides an overview of Software Project Scheduling problem as a combinatorial optimization problem. Since its inception by Alba, there have been multiple models to solve this problem. Metaheuristics provide high-level strategies capable of solving these problems efficiently. A set of metaheuristics used to solve this problem is presented, showing the resolution structure and its application. Among these we can find Simulated Annealing, Variable Neighborhood Search, Genetic Algorithms, and Ant Colony Optimization.",
keywords = "Metaheuristcs, Optimization, Software Project Scheduling",
author = "Broderick Crawford and Ricardo Soto and Franklin Johnson and Sanjay Misra and Fernando Paredes",
year = "2014",
doi = "10.1007/978-3-319-09156-3_16",
language = "English",
isbn = "9783319091556",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
number = "PART 5",
pages = "215--226",
booktitle = "Computational Science and Its Applications, ICCSA 2014 - 14th International Conference, Proceedings",
edition = "PART 5",
note = "14th International Conference on Computational Science and Its Applications, ICCSA 2014 ; Conference date: 30-06-2014 Through 03-07-2014",
}