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

David R. Morrison; Edward C. Sewell; Sheldon H. Jacobson

doi:10.1016/j.ejor.2013.11.033

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

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

Research output: Contribution to journal › Article › peer-review

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.

Original language	English (US)
Pages (from-to)	403-409
Number of pages	7
Journal	European Journal of Operational Research
Volume	236
Issue number	2
DOIs	https://doi.org/10.1016/j.ejor.2013.11.033
State	Published - Jul 16 2014

Keywords

Assembly line balancing
Branch and bound
Combinatorial optimization

ASJC Scopus subject areas

Computer Science(all)
Modeling and Simulation
Management Science and Operations Research
Information Systems and Management

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10.1016/j.ejor.2013.11.033

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

Abstract

Keywords

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