An application of the branch, bound, and remember algorithm to a new simple assembly line balancing dataset
نویسندگان
چکیده
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.
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ورودعنوان ژورنال:
- European Journal of Operational Research
دوره 236 شماره
صفحات -
تاریخ انتشار 2014