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