Academic Journal

A new non-monotonic infeasible simplex-type algorithm for Linear Programming

التفاصيل البيبلوغرافية
العنوان: A new non-monotonic infeasible simplex-type algorithm for Linear Programming
المؤلفون: Triantafyllidis, Charalampos P., Samaras, Nikolaos
المصدر: PeerJ Computer Science ; volume 6, page e265 ; ISSN 2376-5992
بيانات النشر: PeerJ
سنة النشر: 2020
المجموعة: PeerJ (E-Journal - via CrossRef)
الوصف: This paper presents a new simplex-type algorithm for Linear Programming with the following two main characteristics: (i) the algorithm computes basic solutions which are neither primal or dual feasible, nor monotonically improving and (ii) the sequence of these basic solutions is connected with a sequence of monotonically improving interior points to construct a feasible direction at each iteration. We compare the proposed algorithm with the state-of-the-art commercial CPLEX and Gurobi Primal-Simplex optimizers on a collection of 93 well known benchmarks. The results are promising, showing that the new algorithm competes versus the state-of-the-art solvers in the total number of iterations required to converge.
نوع الوثيقة: article in journal/newspaper
اللغة: English
DOI: 10.7717/peerj-cs.265
الاتاحة: http://dx.doi.org/10.7717/peerj-cs.265
https://peerj.com/articles/cs-265.pdf
https://peerj.com/articles/cs-265.xml
https://peerj.com/articles/cs-265.html
Rights: https://creativecommons.org/licenses/by/4.0/
رقم الانضمام: edsbas.BC8ECEED
قاعدة البيانات: BASE