@inproceedings{3c1112493d5d4b69b5f87300472daf70,
title = "Ant colonies for the RCPS problem",
abstract = "Several approaches based on Ant Colony Optimization (ACO) are developed to solve the Resource Constrained Project Scheduling Problem (RCPSP). Starting from two different proposals of the metaheuristic, four different algorithms adapted to the problem characteristics are designed and implemented. Finally the effectiveness of the algorithms are tested comparing its results with those previously found in the literature for a data set used as a the benchmark instance set for the problem.",
author = "Joaqu{\'i}n Bautista and Jordi Pereira",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2002.; 5th Catalonian Conference on Artificial Intelligence, CCIA 2002 ; Conference date: 24-10-2002 Through 25-10-2002",
year = "2002",
doi = "10.1007/3-540-36079-4_23",
language = "English",
series = "Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)",
publisher = "Springer Verlag",
pages = "257--268",
editor = "{Teresa Escrig}, M. and Francisco Toledo and Elisabet Golobardes",
booktitle = "Topics in Artificial Intelligence - 5th Catalonian Conference on AI, CCIA 2002, Proceedings",
}