Abstract

In this paper, we present an O( n log n) algorithm to compute a tight lower bound for the one-dimensional bin packing problem. We have simulated the algorithm on randomly generated bin packing problems with item sizes drawn uniformly from ( a, b), where 0 ⩽ a < b ⩽ B and B is bin size. Using our lower bound, the average error of BFD is less than 2%. For a + b ⩾ B, the error is less than 0.003%.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.