Beam-ACO applied to assembly line balancing, Ant Colony Optimization and Swarm Intelligence

Blum, J.; Bautista, J.; Pereira, J.; Dorigo, M.; Gambardella, L.M.; Birattari, M.; Martinoli, A.; Poli, R.; Stützle, T.

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.

Más información

Editorial: Springer
Fecha de publicación: 2006
Año de Inicio/Término: September 4-7, 2006
Página de inicio: 96
Página final: 107
Idioma: English
URL: http://link.springer.com/chapter/10.1007/11839088_9
DOI:

10.1007/11839088_9

Notas: Indexed by scopus