Multi-objective constructive heuristics for the 1/3 variant of the time and space assembly line balancing problem: ACO and random greedy search Chica Serrano, Manuel Cordón García, Óscar Damas Arroyo, Sergio Bautista, Joaquín This work has been supported by the UPC Nissan Chair and the Spanish Ministerio de Educacin y Ciencia under the PROTHIUS-II project (DPI2007-63026) and by the Spanish Ministerio de Ciencia e Innovacin under project TIN2009-07727, both including EDRF fundings. In this work we present two new multiobjective proposals based on ant colony optimisation and random greedy search algorithms to solve a more realistic extension of a classical industrial problem: time and space assembly line balancing. Some variants of these algorithms have been compared in order to find out the impact of different design configurations and the use of heuristic information. Good performance is shown after applying every algorithm to 10 well-known problem instances in comparison to NSGA-II. In addition, those algorithms which have provided the best results have been employed to tackle a real-world problem at the Nissan plant, located in Spain. 2024-11-21T10:51:44Z 2024-11-21T10:51:44Z 2010-09 journal article Chica Serrano, Manuel et al. Multi-objective constructive heuristics for the 1/3 variant of the time and space assembly line balancing problem: ACO and random greedy search. Information Sciences Volume 180, Issue 18, 15 September 2010, Pages 3465-3487. https://doi.org/10.1016/j.ins.2010.05.033 https://hdl.handle.net/10481/97190 10.1016/j.ins.2010.05.033 eng open access Elsevier