A batching-move iterated local search algorithm for the bin packing problem with generalized precedence constraints. Issue 21 (2nd November 2017)

• Record Type: Journal Article
• Authors: Kramer, Raphael; Dell'Amico, Mauro; Iori, Manuel
• Is Part Of: International journal of production research. Volume 55:Issue 21(2017)
• Page Start: 6288
• Page End: 6304
• Publication Date: 2017-11-02
• Subjects: bin packing -- assembly line balancing -- generalised precedence constraints -- iterated local search -- batching moves; Factory management -- Periodicals; 658.57
• DOI: 10.1080/00207543.2017.1341065
• Languages: English
• ISSNs: 0020-7543

Abstract

Abstract: In this paper, we propose a generalisation of the bin packing problem, obtained by adding precedences between items that can assume heterogeneous non-negative integer values. Such generalisation also models the well-known Simple Assembly Line Balancing Problem of type I. To solve the problem, we propose a simple and effective iterated local search algorithm that integrates in an innovative way of constructive procedures and neighbourhood structures to guide the search to local optimal solutions. Moreover, we apply some preprocessing procedures and adapt classical lower bounds from the literature. Extensive computational experiments on benchmark instances suggest that the developed algorithm is able to generate good quality solutions in a reasonable computational time.