@inproceedings{d6d3a0552b9442a38a52f7973329b75d,
title = "A new approach to solve the software project scheduling problem based on max–min ant system",
abstract = "This paper presents a new approach to solve the Software Project Scheduling Problem. This problem is NP-hard and consists in finding a workertask schedule that minimizes cost and duration for the whole project, so that task precedence and resource constraints are satisfied. Such a problem is solved with an Ant Colony Optimization algorithm by using the Max–Min Ant System and the Hyper-Cube framework. We illustrate experimental results and compare with other techniques demonstrating the feasibility and robustness of the approach, while reaching competitive solutions.",
keywords = "Ant colony optimization, Max–Min ant system, Project management, Software engineering, Software project scheduling problem",
author = "Broderick Crawford and Ricardo Soto and Franklin Johnson and Eric Monfroy and Fernando Paredes",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2014.; 3rd Computer Science On-line Conference, CSOC 2014 ; Conference date: 01-04-2014",
year = "2014",
doi = "10.1007/978-3-319-06740-7_4",
language = "English",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "41--51",
editor = "Radek Silhavy and Roman Senkerik and Oplatkova, {Zuzana Kominkova} and Petr Silhavy and Zdenka Prokopova",
booktitle = "Modern Trends and Techniques in Computer Science - 3rd Computer Science On-line Conference, CSOC 2014",
}