An application of the branch, bound, and remember algorithm to a new simple assembly line balancing dataset

David R. Morrison, Edward C. Sewell and Sheldon H. Jacobson

European Journal of Operational Research, 2014, vol. 236, issue 2, 403-409

Abstract: The simple assembly line balancing problem (SALBP) is a well-studied NP-complete problem for which a new problem database of generated instances was published in 2013. This paper describes the application of a branch, bound, and remember (BB&R) algorithm using the cyclic best-first search strategy to this new database to produce provably exact solutions for 86% of the unsolved problems in this database. A new backtracking rule to save memory is employed to allow the BB&R algorithm to solve many of the largest problems in the database.

Keywords: Assembly line balancing; Branch and bound; Combinatorial optimization (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (24)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:236:y:2014:i:2:p:403-409

DOI: 10.1016/j.ejor.2013.11.033

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