@inproceedings{27f9996b2d6846b98b4bc865cf8257e1,
title = "Beam-ACO applied to assembly line balancing",
abstract = "Assembly line balancing concerns the design of assembly lines for the manufacturing of products. In this paper we consider the time and space constrained simple assembly line balancing problem with the objective of minimizing the number of necessary work stations. This problem is denoted by TSALBP-1 in the literature. For tackling this problem we propose a Beam-ACO approach, which is an algorithm that results from hybridizing ant colony optimization with beam search. The experimental results show that our algorithm is a state-of-the-art metaheuristic for this problem.",
author = "Christian Blum and Joaqu{\'i}n Bautista and Jordi Pereira",
year = "2006",
doi = "10.1007/11839088_9",
language = "English",
isbn = "3540384820",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "96--107",
booktitle = "Ant Colony Optimization and Swarm Intelligence - 5th International Workshop, ANTS 2006, Proceedings",
note = "Ant Colony Optimization and Swarm Intelligence - 5th International Workshop, ANTS 2006, Proceedings ; Conference date: 04-09-2006 Through 07-09-2006",
}