@inproceedings{42940b1396c94384b8f5678d05042a71,
title = "An artificial bee colony algorithm for the resource contrained project scheduling problem",
abstract = "We present an approach to solve the Resource Constrained Project Scheduling Problem. This problem consists on executing a group of activities limited by constraints. Precedence relationships force to some activities to begin after the finalization of others. In addition, processing every activity requires a predefined amount of limited resources. The target of this problem is to minimize the duration of whole project. In this paper, an approach based on Artificial Bee Colony algorithm for the Resource Constrained Project Scheduling Problem is presented. That algorithm is one of the most recent algorithms in the domain of the collective intelligence who was motivated by the intelligent behavior observed in the domestic bees to take the process of forage. Thus, ABC combines methods of local search and global search, trying to balance the process of the exploration and exploitation of the space of search.",
keywords = "Artificial bee colony, Metaheuristic, Project scheduling",
author = "Broderick Crawford and Ricardo Soto and Franklin Johnson and Enrique Norero and Eduardo Olgu{\'i}n",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 17th International Conference on Human Computer Interaction, HCI 2015 ; Conference date: 02-08-2015 Through 07-08-2015",
year = "2015",
doi = "10.1007/978-3-319-21380-4_99",
language = "English",
isbn = "9783319213798",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "582--586",
editor = "Constantine Stephanidis",
booktitle = "HCI International 2015 – Posters Extended Abstracts - International Conference, HCI International 2015, Proceedings",
}